AI Engineer (DRWN)
Via agency · Darwin Recruitment
Software developerApplications developerSystems analystTemporaryRemote
Our client is delivering enterprise AI for a global manufacturing organisation and needs a hands-on consultant/developer to take AI use cases from proof of concept to stable production. You'll build LLM-based applications, AI agents and intelligent assistants, integrate them with enterprise systems, and own them through deployment, monitoring and continuous improvement.
Tasks
- Take AI use cases from proof of concept to stable production
- Build LLM-based applications, AI agents and intelligent assistants (RAG, semantic search, chat assistants, document intelligence and multi-step agent workflows)
- Integrate them with enterprise systems, and own them through deployment, monitoring and continuous improvement
- Work with business teams to identify and prioritise high-value use cases and help define reusable AI standards and reference architectures
Requirements
- Proven hands-on background in AI engineering, AI consulting or software engineering
- Strong Python, building production-grade backend services, APIs and integrations
- Practical LLM / Generative AI experience, including prompt engineering, tool/function calling and structured outputs
- RAG implementation: vector search, embeddings, document ingestion and enterprise knowledge integration
- Agentic AI: orchestration, planning, memory, guardrails, human-in-the-loop and multi-agent systems
- AI/agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or Pydantic
- DevOps: Git, CI/CD, automated testing, Docker and cloud deployment
- Running AI applications in production: monitoring, observability, performance tuning and cost management
- Building evaluation frameworks for model and agent quality (accuracy, hallucination, safety)
- Secure coding, data privacy, access control and responsible AI practices
- Able to explain complex technical topics clearly to business stakeholders
- Manufacturing, automotive, industrial or logistics exposure (ERP, MES, PLM, IoT) is a plus