Senior AI Python Engineer

Tenth Revolution Group; Oslo; On-site; NOK 900,000 - 1,300,000; Full time

Job summary

Tenth Revolution Group is building the AI foundation for an entire engineering organization, delivering shared tooling and platform services to enable scalable GenAI across teams.

As an AI Platform Engineer in Energy, you will own the SDKs, orchestration layers and production LLM applications, shaping standards and enabling rapid, safe AI adoption across the company. You’ll collaborate with data, platform and engineering teams to embed AI into the data platform.

Qualifications

• 5–7 years of commercial Python software engineering experience.
• Hands-on experience building GenAI applications with LLMs.
• Practical use of LangChain, LangGraph, LlamaIndex or similar.
• Solid grasp of RAG, embeddings, vector search, agents and prompt engineering.
• Experience building APIs and cloud-native services.
• Comfort with Docker, Git and CI/CD.
• Exposure to developer platforms or shared engineering tooling.
• Strong communication across engineering teams.

Responsibilities

• Build reusable frameworks, SDKs and developer tooling used across the organisation.
• Ship Python-based AI applications using modern LLMs.
• Develop core platform features: prompt management, model routing, evaluation, observability and guardrails.
• Create scalable patterns for RAG, agents and workflow automation.
• Build APIs and services that make AI adoption easy for other teams.
• Work with data, platform and engineering teams to embed AI into the wider data platform.

Skills

Python

GenAI apps

LLMs

LangChain

LangGraph

LlamaIndex

RAG & embeddings

Vector search

Agents

Prompt engineering

APIs & cloud-native

Docker

Git

CI/CD

Developer platforms/tools

Communication

Tools

Docker

Git

CI/CD

FastAPI

Kubernetes

IaC

MLOps tooling

APIs

Job description

AI Platform Engineer, Energy Sector

We're building the AI foundations for an entire engineering organisation. You'll create the shared tooling, frameworks and infrastructure that let every dev team ship AI solutions quickly, safely and at scale.

The role

Own Engineering for AI: the SDKs, orchestration layers and platform services that turn GenAI from one-off projects into a company-wide capability. You'll stay hands-on, building production LLM applications and setting the technical standard as you go.

What you’ll do

• Build reusable frameworks, SDKs and developer tooling used across the organisation
• Ship Python-based AI applications using modern LLMs
• Develop core platform features: prompt management, model routing, evaluation, observability and guardrails
• Create scalable patterns for RAG, agents and workflow automation
• Build APIs and services that make AI adoption easy for other teams
• Work with data, platform and engineering teams to embed AI into the wider data platform

You have

• 5-7 years of commercial Python Software Engineering experience
• Hands-on experience building GenAI applications with LLMs
• Practical use of LangChain, LangGraph, LlamaIndex or similar
• Solid grasp of RAG, embeddings, vector search, agents and prompt engineering
• Experience building APIs and cloud-native services
• Comfort with Docker, Git and CI/CD
• Exposure to developer platforms or shared engineering tooling
• Strong communication across engineering teams

Nice to have

• Enterprise AI platform or developer enablement experience
• FastAPI, vector databases, AWS/Azure/GCP
• Kubernetes, IaC or MLOps tooling
• AI governance and responsible AI knowledge

Why join

Shape a business-wide GenAI capability from the ground up, with real influence over how the whole organisation builds with AI.