AI Engineer
Posted 8 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
Compensation
No salary listed for this role.
Role speciality
Agentic AIArtificial IntelligenceRetrieval-Augmented Generation
Useful technologies
AI FoundryAI SearchAWSAzure AI ServiceCopilot StudioDatabricksDocument IntelligenceGCPGitLabHugging FaceLangChainLangdockLangflowLangGraphModel Context Protocol (MCP)OpenAI ServiceOpenTofupydanticPythonReactStreamlitTerraformTypeScript
Preferred qualifications
Field of studyArtificial Intelligence, Computer Science, Data Science (or related)
Study levelBachelor's
The Team – your impact
As a AI Engineer (f/m/d), you will be responsible for designing, developing, and optimizing AI solutions that enhance decision-making, improve operational efficiency, and enable smarter energy solutions. You will work closely with cross-functional teams, providing technical leadership and ensuring best practices in AI implementation.
It’s on us to make new energy work!
Your Role– meaningful & rewarding
- Drive the development of agentic AI solutions powered by RAG delivered through enterprise platforms (e.g., Copilot Studio, Langdock, Databricks) or custom-built backends using Python or TypeScript
- Design and implement multi-step agentic workflows, using orchestration frameworks (e.g., LangGraph, LangChain) for custom solutions, with awareness of emerging standards like Model Context Protocol (MCP)
- Apply agentic design best practices — including guardrails, output evaluation, human-in-the-loop validation, structured tool use, and graceful fallback handling
- Design and implement AI-powered solutions leveraging Azure AI Service (OpenAI Service, AI Foundry, AI Search, Document Intelligence), with working knowledge of comparable services on AWS and GCP
- Design robust data models and application backends, ensuring efficient data handling (e.g. using Python and Pydantic)
- Lead full-cycle development of AI applications from solution architecture and data ingestion through deployment, monitoring, and continuous improvement
- Automate and streamline infrastructure and deployment tasks using Infrastructure-as-Code tooling (e.g., OpenTofu, Terraform), with CI/CD pipelines on GitLab
- Provide strategic direction for API development, ensuring best practices in RESTful API design and async programming
- Prototype and demo AI solutions to clients and stakeholders using lightweight frontend tools (e.g., Streamlit, React) or low-code interfaces
- Assess IT/digital needs, challenges or systems, deliver strategic technology guidance, and lead clients through effective digital transformation initiatives
Your Profile – authentic & open-minded
- A degree in Computer Science, Data Science, AI, or a related technical field, or equivalent work experience
- Several years of professional experience in AI development, solution architecture, particularly on Azure, with working knowledge of comparable services on AWS and GCP
- Strong expertise in Python and TypeScript and respective frameworks for RESTful API development
- Deep knowledge of Azure's AI platform (OpenAI Service, AI Foundry, AI Search, Document Intelligence) as well as DevOps practices for cloud-based infrastructure maintenance and CI/CD pipelines (e.g., GitLab)