Machine Learning Engineer

Tenth Revolution Group; Oslo; On-site; NOK 1,000,000 - 1,400,000; Full time

Job summary

Tenth Revolution Group in Oslo is seeking a Senior AI Engineer / AI Solutions Engineer to own AI projects from concept through production. You will build, deploy, and continuously improve AI solutions that deliver tangible business value.

You will work on AI-powered workflows, knowledge graphs, and production AI infrastructure, using Python, React, FastAPI, LangChain, PgVector, and ArangoDB to deliver scalable results.

Qualifications

• Hands-on, end-to-end project ownership across full AI delivery lifecycle.
• Strong understanding of embedding models and vector search techniques.
• Experience with Retrieval Augmented Generation (RAG) systems beyond simple API integrations.
• Familiarity with evaluation metrics such as MRR, NDCG, Precision@K, F1.

Responsibilities

• Build systems that extract, interpret, and structure information from complex documents.
• Design and implement intelligent automation workflows to improve operational efficiency.
• Develop knowledge graphs and structured data solutions for organisational information.
• Create scalable AI platforms to support production‑grade business operations.
• Collaborate with stakeholders to translate requirements into robust AI solutions.

Skills

Python

React

FastAPI

LangChain

PgVector

ArangoDB

Job description

Senior AI Engineer / AI Solutions Engineer

We're looking for a highly capable AI Engineer who thrives on taking ownership of projects from concept through to production. This is not a role for someone who wants to focus solely on research or model experimentation. We need a hands‑on builder who can design, develop, deploy, and continuously improve production‑grade AI solutions that deliver real business value.

What You'll Work On

Build systems that extract, interpret, and structure information from complex business documents using modern AI techniques.

AI-Powered Workflows

Design and implement intelligent automation solutions that streamline business processes and improve operational efficiency.

Knowledge Graph & Structured Data

Develop solutions that connect and organise information using knowledge graphs, entity relationships, and advanced retrieval architectures.

Create AI applications that help users discover, access, and interact with organisational knowledge.

Production AI Infrastructure

Build scalable, reliable, and maintainable AI platforms capable of supporting mission‑critical business operations.

• Python


• React


• FastAPI


• LangChain


• PgVector


• ArangoDB

What We're Looking For

End-to-End Project Ownership

We're specifically seeking someone who has been hands‑on throughout entire projects and can demonstrate experience across:

• Requirements gathering and solution design


• Technical architecture and system design


• Development and implementation


• Testing and performance optimisation


• Monitoring, maintenance, and continuous improvement


• Stakeholder engagement and communication throughout delivery

You should be comfortable taking ideas from whiteboard discussions all the way to production and beyond.

• Strong understanding of embedding models, vector search, and similarity metrics


• Experience building Retrieval Augmented Generation (RAG) systems beyond simple API integrations


• Knowledge of evaluation methodologies including MRR, NDCG, Precision@K, and F1 scores


• Strong understanding of prompt engineering techniques and LLM limitations


• Experience designing AI systems for real-world business applications

Python Engineering

• Excellent understanding of async/await programming patterns


• Experience with type hints, Pydantic, and modern Python development practices


• Comfortable working with NumPy, Pandas, or similar data processing libraries


• Experience implementing automated testing and CI/CD pipelines


• Ability to identify, profile, and optimise performance bottlenecks

Systems & Architecture Thinking

• Understanding of scalability, reliability, and maintainability in AI systems


• Ability to assess latency, performance, and cost trade-offs


• Experience troubleshooting complex distributed or asynchronous workflows


• Comfortable reading technical papers and applying new techniques where appropriate


• Strong problem‑solving and debugging capabilities

Pragmatic Delivery Mindset

• Focused on delivering working solutions rather than research experiments


• Able to balance engineering quality with business timelines


• Understands when \"good enough\" is the right decision


• Comfortable communicating technical concepts to non-technical stakeholders


• Takes ownership and accountability for outcomes

Nice to Have

• Experience with vector databases such as PgVector, Pinecone, Weaviate, or similar


• Knowledge graph experience including entity extraction, relationship extraction, ArangoDB, or Neo4j


• Workflow automation or business process automation experience


• Experience building agentic AI systems, multi‑agent frameworks, or tool-using LLMs


• Familiarity with reranking models such as Cohere Rerank or BGE Reranker


• Experience deploying AI workloads within Azure environments

Success in This Role

You'll be successful if you:

• Take ownership of projects from discovery through production deployment


• Deliver AI solutions that provide measurable business impact


• Build systems that are scalable, maintainable, and reliable


• Balance innovation with practical execution


• Collaborate effectively with both technical and non‑technical stakeholders


• Continuously improve solutions through data‑driven insights and iteration