Generative AI Engineer Full Time NEW

🚀 Senior AI Engineer | Contract | £600/day (Inside IR35)

📍 Canary Wharf (4 days/week on-site)

📅 6-Month Contract | Start: ASAP

We are recruiting on behalf of an exciting end client who is building high-impact AI-powered applications that deliver real business value at speed — and they need engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure.

This isn’t a research role. It’s for seasoned engineers who are excited about applying AI in practical, scalable, and production-grade ways.

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🔧 What You’ll Be Doing

• Designing, developing, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native)

• Building foundational platforms — conversational bots, AI-powered search, unstructured data processing, GenBI — that scale across the enterprise

• Working in cross-functional, embedded teams alongside business stakeholders to ship AI solutions fast

• Evaluating and integrating LLMs, vector DBs, RAG patterns, and AI agents into robust applications

• Championing automation across data ingestion, evaluation, model integration, and deployment

• Contributing to internal tooling libraries and AI engineering best practices

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✅ What Our Client Is Looking For

• 5+ years of professional software engineering experience, with a track record of shipping complex systems in production

• Strong Python skills (preferred), or Java/similar; solid experience with microservices, APIs, and backend systems

• Experience integrating ML models into production (LLMs via APIs, RAG, fine-tuning, embeddings, agents)

• Solid grasp of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps

• Ability to move fast without sacrificing code quality or operational excellence

⭐ Bonus Points For

• Hands-on experience with LangChain, Haystack, Hugging Face, Weaviate, or similar AI/ML tooling

• Experience with agentic frameworks: LlamaIndex, CrewAI, AutoGen, or similar LLM orchestration toolkits

• Background in platform engineering or internal developer tools

• Experience with unstructured data (documents, conversations, images) and transforming it into structured formats

• Prior work in a forward-deployed or embedded team model