AI-forskare - Lediga jobb

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results.

We are now seeking a Data Engineer for one of our clients.

About the assignment:

Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies.

Nice to Have

Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders.

Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

TL;DR

We're looking for a founding AI Engineer to help build the AI colleague every sales professional wishes they had. You'll own the agent stack end-to-end - from model selection to database (knowledge graph) structure and search algorithm development. Must be curious, experimental, and obsessed with agentic systems.

Why join

We’re a small, talent-dense team of engineers building a generation-defining company from Stockholm. We value speed, rigour, and extreme ownership. If you're obsessed with product, thrive in ambiguity, and want to push the edge of what agents can do, you’ll feel at home.

You’ll work on pushing the cutting edge in the agentic stack - including LLM fine-tuning, knowledge graphs, memory, orchestration, and intelligent retrieval. Not another chatbot.

We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j. Our customers across 10 countries report 90% less prospecting time, 3x market coverage, and 2x customer meetings.

What you'll do (responsibilities)

In one sentence: Build the next generation agentic system.

• Design and build agentic workflows powered by LLMs, vector search, and knowledge graphs
• Build autonomous background agents that run real revenue workflows — triggered by schedules and CRM events, working across email, CRM, and the web
• Own the agent stack end-to-end: from infrastructure to product logic
• Ship fast: test ideas, run experiments, iterate daily
• Shape the product, the stack, and the culture from the ground up

Who you are

• Cracked engineer obsessed with building great software
• Comfortable with ambiguity, early-stage chaos, and fast iteration
• Thrive on new tech - LLMs, knowledge graphs, agents, you name it
• Care more about solving problems than polishing abstractions
• Fully committed to the mission: not "just a job"

What we offer

• A team of obsessed engineers, full of speed, rigour, and grit
• Mission-driven, no-BS culture: experiment, ship, learn
• Meaningful equity through qualified employee stock options (QESO) from day one
• Fully on-site in Stockholm - we believe in working together
• Top-tier compensation package

Our stack

• Frontend: React
• Backend: Typescript, Node.js, Express, Neo4j, PostgreSQL
• Agent: Typescript, LLMs (Claude, OpenAI, Gemini), Mastra

About Spiich Labs

Spiich is the agentic platform for sales teams. Reps focus on the human work — building relationships, building trust, and closing deals — while Spiich agents handle everything else: prospecting, lead generation, CRM updates, meeting prep, follow-ups, and everything in between. The system integrates knowledge graphs, memory, and agentic workflows to deliver real help - not just summarisation or search. We're backed by founders and operators behind Lovable, OpenAI, Tandem Health, and Neo4j.

How we hire

1. Submit your application
2. Intro call with the team
3. Technical interview
4. Take-home exercise
5. Join us for trial work lasting 2 days on-site. We'll see how you tick and you get to meet the team and explore whether joining Spiich feels right for you.

We move fast — the full process typically takes under two weeks.

How to Apply

Drop us a line at filip@spiich.ai with your GitHub/LinkedIn, a note on why this excites you, and your proudest achievement. No CV needed.