Lediga job som IAM-specialist

Xensam: Join the Future of SAM

Xensam is the leader in AI-powered, cloud-based Software Asset Management. Our technology brings clarity to complex IT environments, helping users make smart, data-driven decisions and maximize software ROI.

Recognized with the Highest Growth Award and ranked #3 Overall Champion at the Main Software 50 Awards Nordics, we're scaling fast and looking for people who want to join the journey. At Xensam, you play a key role in a team built on energy, focus, and positivity. We value experience, but even more, the person behind it.

Together, we build the future of SAM.

About the role

We are looking for a Senior Backend Engineer to help build and evolve the services that power the Xensam platform.

In this role, you will design, develop, and maintain scalable backend systems in Rust and across a diverse technology landscape. You should enjoy understanding complex systems and contributing across multiple parts of the tech stack where needed. Working closely with Product, Engineering, Infrastructure, and Security teams, you will deliver reliable, secure, and high-performing solutions that support our continued growth.

Beyond development, you will contribute to architectural decisions, improve engineering practices, and help shape the technical direction of the platform. The role offers the opportunity to mentor other engineers, drive technical initiatives, and influence how we build software at scale.

Responsibilities

• Design, develop, and maintain backend services and APIs using Rust

• Build scalable, reliable, and secure systems that support business growth

• Contribute to architecture decisions and technical direction across the platform

• Improve system performance, reliability, observability, and maintainability

• Identify and resolve complex technical challenges across services and integrations

• Refactor and modernize existing solutions in line with engineering best practices

• Write robust unit, integration, and end-to-end tests

• Participate in code reviews and help maintain high engineering standards

• Collaborate closely with Product, Infrastructure, and Security teams

• Support and mentor other engineers through knowledge sharing and technical guidance

Qualifications

• Extensive experience in backend software development

• Strong experience building production systems with Rust

• Strong understanding of distributed systems, APIs, and backend architecture

• Experience building scalable, reliable, and secure services

• Strong foundation in software engineering principles, testing, and version control

• Experience working with relational databases and SQL

• Comfortable working with CI/CD pipelines and modern development practices

• Strong problem-solving and debugging skills

• Excellent communication skills and a collaborative mindset

• Strong verbal and written communication skills in fluent English (Swedish is a plus)

Bonus points if you have

• Experience with PostgreSQL at scale

• Experience with cloud platforms and containerized environments

• Experience working in high-growth SaaS environments

• Understanding of modern frontend development and frameworks (e.g. React, Vue, Angular)

• Experience collaborating across the full stack to design and deliver user-facing features

What you get

• A generous work culture with free drinks and snacks, office massages, and more

• Three days in-office (with remote work on Mondays and Fridays)

• An opportunity to shape your career growth while contributing to the company's success

• A dynamic position embracing freedom under responsibility

• If sales targets are met, all employees enjoy an annual destination trip

• Other location-specific benefits

Our values at Xensam

Rebellious

We challenge the norm and act with initiative – always with responsibility.

Humane

We foster a caring, inclusive environment that values diversity and respects individuality.

Harmony

We value balance and create a supportive workplace where people thrive.

As part of our recruitment process, we conduct background checks on final candidates to fulfill our commitments to customers and ensure a safe work environment.

Description

Build the next-generation payment platform on a modern and future-proof tech stack. Working in a cross-functional team

What we’re looking for

Proven ability to design, optimize, and operate data-intensive systems, including schema design, performance tuning, and production troubleshooting in MS SQL Server–based environments.

Deep understanding of database performance and reliability, including indexing strategies, query optimisation, and handling production issues.

Experience building and operating backend services using .NET/C#, with a solid understanding of microservice architectures and distributed systems.

Experience designing and working with asynchronous messaging and event-driven systems, using Kafka, IBM MQ, or similar technologies.

Experience running services in containerised and orchestrated environments (Docker, Kubernetes/OpenShift), with awareness of scaling, resilience, and failure modes.

Experience contributing to or owning CI/CD pipelines for database changes and deployment automation, with a focus on safe, repeatable releases.

A collaborative engineering mindset, with a willingness to share knowledge, learn continuously, and improve how the team builds and runs software.

Meritorious with experience from financial services, payments, or other regulated environments.

Strong communication skills, with fluency in English; Swedish is a plus

At Umain, we're not just creating software; we're crafting the future, one innovative project at a time. With our motto "Shape, Ship, Scale," we empower our team to not only envision the future but also play a pivotal role in building it. We're a dynamic team where you can shape the future, ship groundbreaking solutions, and scale your abilities in many different ways.

We are now looking for Senior Backend Engineers who want to build robust solutions that power products used by millions of people.

We have a proven track record:

• 400M+ total app downloads

• 50M+ monthly active users

• Backends handling tens of thousands of requests per second

• Globally recognized, multi-market applications

The office in Stockholm is our default workplace, but we stay flexible when working from home makes sense for the team or the project. We trust each other to coordinate and keep things professional.

Most of our work is built in Kotlin, Go, and TypeScript, and we aim to pick the tools that best fit each project so our teams can focus on delivering the right solution.

The role is broad but centered on backend. You'll work on projects for both Swedish and international companies, including systems that integrate external services, automation, and frontend clients.

• Building high-performance backend systems in Go, Kotlin, TypeScript (Node.js), or Python, depending on the project.

• Working with frameworks such as Ktor, Fiber, and NestJS.

• Designing cloud-native systems with Infrastructure as Code (Terraform) across AWS, GCP, and Azure.

• Developing robust data models and database architectures to support application requirements.

• Building observable systems with the right metrics, logs, tracing, and alerting to understand and operate what we ship.

• Building and maintaining CI/CD pipelines with containerized deployments and scaling strategies.

If you're excited by working across the stack, always learning, and making a real impact at scale, we believe you'll feel at home at Umain.

• 5+ years of experience building and running backend services in production.

• Comfortable owning a system end to end, from API design to deployment and operations.

• Strong in at least one of our core languages (Kotlin, Go, or TypeScript), and willing to pick up others as projects demand.

• Experience making technical decisions on a team: weighing tradeoffs, reviewing code, and mentoring peers.

• A product mindset: You think about maintainability, user impact, and long-term health, not just the ticket in front of you.

• Familiar with agentic development tools

• You treat unfamiliar problems and new technologies as an opportunity rather than a risk. In consulting, the next project often looks nothing like the last one, and you see that as a feature.

• A personal coach and support to help you develop both professionally and personally.

• A range of diverse projects that explore and push the boundaries of what's possible.

• A fun and fair work environment where you can grow through meaningful challenges and great colleagues.

• Multidisciplinary teams where backend engineers work closely with product, design, analysis, and testing.

• Working alongside some of the largest and most forward-thinking brands on the planet.

Career Framework

We believe in fairness and clarity, which is why we've established a transparent career framework to ensure equal pay and equal opportunities for all. Your growth and success are as important to us as they are to you. Together with your coach, you will build your own development plan and grow in your career.

Work-Life Balance

At Umain, we understand that life doesn't pause when you walk into the office. We welcome team members from all walks of life and recognize the richness that different backgrounds, ages, and life stages bring to a team. Whether you're taking care of your family, your pets, or yourself, we're committed to supporting a healthy balance that respects your needs.

Skills Over Degrees

We're more interested in what you can do than in the diplomas you hold. Talent, drive, and creativity are what count at Umain. Here, you'll find opportunities to grow, learn, and excel in your career, regardless of your educational background.

Background check

Umain conducts a background check for final candidates in accordance with our internal policies. The check is carried out only with your consent and is ordered by our CISO through our approved screening partner. The scope of the check depends on the role level. This step is performed late in the recruitment process and is used solely to support a secure and fact-based hiring decision.

Vilka är Predictly?

Predictly är ett konsultbolag med bred specialistkompetens inom digital transformation. Vi arbetar med allt från molnteknik (Google Cloud, AWS och Azure), data engineering och avancerad analys till fullstackutveckling, integration, AI-lösningar och infrastruktur som kod. Våra team består av erfarna och nyfikna specialister som brinner för teknik, innovation och att skapa verkligt affärsvärde.

Hos Predictly får du arbeta nära seniora kollegor med djup kompetens genom hela systemutvecklingens livscykel och ta del av skräddarsydd kompetensutveckling baserad på dina mål och intresseområden. I kombination med generösa Work/Life-balance-policys och ett modernt kontor på Birger Jarlsgatan i centrala Stockholm erbjuder vi en arbetsmiljö där både människor och teknik får utrymme att växa.

Vad ingår i rollen?

Som konsult hos Predictly blir du en central del i moderniserings- och transformationsprojekt med fokus på Google Cloud och andra ledande molnleverantörer. Du arbetar med allt som ingår i dagens moderna IT-plattformar: databasdesign, Java-utveckling, integrationer och containerhantering.

I rollen bygger, underhåller och optimerar du system samt deltar i allt från felsökning till driftsättning. Utifrån kundens behov och din erfarenhetsnivå kan du även få möjlighet att kliva in i mer ansvarstagande roller, exempelvis Lead Developer eller arkitekt.

Vem är du?

För att lyckas i rollen tror vi att du har:

• En relevant eftergymnasial utbildning

• Minst 3 års erfarenhet av systemutveckling i Java

• Erfarenhet av Google Cloud eller någon annan molnleverantör.

• Erfarenhet av containers och containerorkestrering i exempelvis Kubernetes.

• Goda kunskaper i svenska och engelska

• EU-medborgarskap

Vi tror dessutom att du är trygg i utvecklarrollen och trivs i en dynamisk miljö där du får växla mellan fokusarbete och samarbete. Du är nyfiken på att utöka din verktygslåda och ser det som en fördel att få arbeta med tekniker som Spring Boot, Docker, Kubernetes, Google Cloud och Terraform.

Det är meriterande om du har:

• Mer än 5 års erfarenhet av systemutveckling

• Arbetat genom flera faser av utvecklingsprojekt, från kravhantering och nyutveckling till förvaltning

• Erfarenhet av agila arbetssätt

Har du tagit dig hela vägen hit? Då är chansen stor att du är precis den vi söker. Vi ser fram emot din ansökan!

Så här ser rekryteringsprocessen ut

Om du inte går vidare i just denna rekrytering behåller vi gärna dina uppgifter för framtida möjligheter som bättre matchar din profil. 

Urval sker löpande och tjänsten kan komma att tillsättas innan sista ansökningsdag.

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.

About the Role

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.

In this role, you will

Architect multi-step planning, orchestration, and tool routing for agents

Implement code generation agents and sandboxed code execution

Engineer memory, state, and context packing/grounding strategies

Balance latency, quality, and cost controls for agent execution

Develop safe fallbacks, graceful degradation and robust error handling

Collaborate with platform and search teams to deliver reusable agent infrastructure

Establish safety guarantees and measurable quality improvements

About You

Basic Qualifications:

3+ years of software engineering experience building production backend or platform systems.

3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services.

3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.

3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability.

Other Qualifications:

Experience building and deploying LLM-powered applications in production.

Experience building agent platforms or AI infrastructure.

Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc.

Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems.

Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.).

Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith.

Familiarity with vector databases, prompt and context engineering, and experimentation tooling.

Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times.

Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms.

Comfort working with Postgres and Redis in high-throughput, low-latency service contexts.

Contributions to open source TypeScript projects.

Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production.

Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.

About the Role

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.

In this role, you will

Architect multi-step planning, orchestration, and tool routing for agents

Implement code generation agents and sandboxed code execution

Engineer memory, state, and context packing/grounding strategies

Balance latency, quality, and cost controls for agent execution

Develop safe fallbacks, graceful degradation and robust error handling

Collaborate with platform and search teams to deliver reusable agent infrastructure

Establish safety guarantees and measurable quality improvements

About You

Basic Qualifications:

3+ years of software engineering experience building production backend or platform systems.

3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services.

3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.

3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability.

Other Qualifications:

Experience building and deploying LLM-powered applications in production.

Experience building agent platforms or AI infrastructure.

Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc.

Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems.

Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.).

Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith.

Familiarity with vector databases, prompt and context engineering, and experimentation tooling.

Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times.

Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms.

Comfort working with Postgres and Redis in high-throughput, low-latency service contexts.

Contributions to open source TypeScript projects.

Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production.

Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.

About the Role

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.

In this role, you will

Architect multi-step planning, orchestration, and tool routing for agents

Implement code generation agents and sandboxed code execution

Engineer memory, state, and context packing/grounding strategies

Balance latency, quality, and cost controls for agent execution

Develop safe fallbacks, graceful degradation and robust error handling

Collaborate with platform and search teams to deliver reusable agent infrastructure

Establish safety guarantees and measurable quality improvements

About You

Basic Qualifications:

3+ years of software engineering experience building production backend or platform systems.

3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services.

3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.

3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability.

Other Qualifications:

Experience building and deploying LLM-powered applications in production.

Experience building agent platforms or AI infrastructure.

Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc.

Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems.

Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.).

Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith.

Familiarity with vector databases, prompt and context engineering, and experimentation tooling.

Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times.

Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms.

Comfort working with Postgres and Redis in high-throughput, low-latency service contexts.

Contributions to open source TypeScript projects.

Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production.

Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.

About the Role

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.

In this role, you will

Architect multi-step planning, orchestration, and tool routing for agents

Implement code generation agents and sandboxed code execution

Engineer memory, state, and context packing/grounding strategies

Balance latency, quality, and cost controls for agent execution

Develop safe fallbacks, graceful degradation and robust error handling

Collaborate with platform and search teams to deliver reusable agent infrastructure

Establish safety guarantees and measurable quality improvements

About You

Basic Qualifications:

3+ years of software engineering experience building production backend or platform systems.

3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services.

3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.

3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability.

Other Qualifications:

Experience building and deploying LLM-powered applications in production.

Experience building agent platforms or AI infrastructure.

Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc.

Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems.

Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.).

Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith.

Familiarity with vector databases, prompt and context engineering, and experimentation tooling.

Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times.

Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms.

Comfort working with Postgres and Redis in high-throughput, low-latency service contexts.

Contributions to open source TypeScript projects.

Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production.

Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them.

We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.

We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started.

About the Role

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure.

In this role, you will

Architect multi-step planning, orchestration, and tool routing for agents

Implement code generation agents and sandboxed code execution

Engineer memory, state, and context packing/grounding strategies

Balance latency, quality, and cost controls for agent execution

Develop safe fallbacks, graceful degradation and robust error handling

Collaborate with platform and search teams to deliver reusable agent infrastructure

Establish safety guarantees and measurable quality improvements

About You

Basic Qualifications:

3+ years of software engineering experience building production backend or platform systems.

3+ years of experience in TypeScript, with a strong track record of writing reliable, maintainable services.

3+ years of experience with distributed systems, APIs, asynchronous workflows, and service-oriented architecture.

3+ years of experience designing systems with a focus on scalability, reliability, observability, and maintainability.

Other Qualifications:

Experience building and deploying LLM-powered applications in production.

Experience building agent platforms or AI infrastructure.

Deep understanding of the low-level details of the OpenAI, Google, and Anthropic LLM APIs, including tool calling, system prompt caching, etc.

Familiarity with LLM application patterns, including tool calling, retrieval-augmented generation (RAG), memory and context management, multi-step orchestration, and human-in-the-loop systems.

Experience building and running machine learning systems in production, including compiling training and test datasets, building training pipelines, evaluating models, and detecting and handling drift (neural networks, Gaussian models, Thompson sampling, etc.).

Experience designing evaluation frameworks for LLM or agent quality and safety, including hands-on use of platforms such as Langfuse or LangSmith.

Familiarity with vector databases, prompt and context engineering, and experimentation tooling.

Experience working with sandbox environments such as Modal, and designing strict access control models to keep user data safe and encrypted at all times.

Experience running services in Kubernetes-based environments on GCP or equivalent cloud platforms.

Comfort working with Postgres and Redis in high-throughput, low-latency service contexts.

Contributions to open source TypeScript projects.

Ability to navigate ambiguity, make strong technical tradeoffs, and drive projects from concept to production.

Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and AI research teams.

Hos vår samarbetspartner i Luleå får du den perfekta blandningen av ett värmande familjärt och stöttande team. Här blir du en viktig del av helheten och ges möjligheten att arbeta i en kreativ miljö med uppdrag hos spännande kunder - här finns utvecklingsmöjligheterna för dig! Urval sker löpande, vi ser fram emot din ansökan!

Om tjänsten

Vår samarbetspartner är ett IT-konsultbolag inom teknik och industri som hjälper kunder att utveckla och effektivisera sina verksamheter. Med fokus på kvalitet, kompetens och långsiktiga lösningar arbetar de i nära samarbete med sina uppdragsgivare i varierande projekt. Här får du möjlighet att vara en del av en dynamisk miljö där teknik, problemlösning och utveckling står i centrum.

I rollen som utvecklingskonsult kommer du att arbeta med varierande och utmanande uppdrag hos vår klients kunder, med fokus på att leverera högkvalitativa systemlösningar. Du blir en del av ett team som värdesätter kompetensutveckling och att ligga i teknikens framkant.

Vår samarbetspartners vision att vara det lilla familjära konsultbolaget, samtidigt som dem erbjuder sina anställda spännande tekniska uppdrag hos företag i varierande storlek. Utöver detta erbjuder dem sina medarbetare bland annat:

• Givmilda personalförmåner
• Deltagande i en mängd sociala aktiviteter årligen
• Snabba och korta beslutsvägar internt

Vi söker dig som

• Har en kandidat eller civilingenjörsexamen inom relevant område
• Har arbetat inom fullstack alt. backendutveckling en längre period
• Mycket goda kunskaper inom Java och/eller Angular
• Har goda kunskaper i svenska och engelska, tal samt skrift, då språken används i det dagliga arbetet
• Har stort tekniskt intresse, tycker om att arbeta med ny teknik och tycker om att lösa problem

Det är meriterande om du har

• Anknytning/bor i Luleå
• Arbetat i en utvecklarroll med primärt fokus på Java, .NET eller Angular

För att lyckas i rollen har du bland annat följande personliga egenskaper:

• Målmedveten
• Social
• Ordningsam
• Ansvarstagande

Vår rekryteringsprocess

Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work.

Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.