We’re working with a leading enterprise organisation that is looking for a Senior AI Engineer to build and deploy production-grade AI solutions across conversational AI, Agentic AI, RAG and voice.
What you’ll be doing:
- Design and deploy scalable AI Agents and conversational AI solutions
- Build advanced RAG architectures, including hybrid search, re-ranking and vector retrieval
- Develop production-grade voice AI, including STT, TTS and real-time audio processing
- Fine-tune and optimise LLMs, prompts and retrieval strategies
- Build AI infrastructure, APIs and monitoring for production environments
- Work closely with Architecture, Security, Data Governance and other stakeholders
- Evaluate and introduce emerging AI technologies where they add business value
What we’re looking for:
- 8+ years’ software engineering experience, with 4+ years in AI engineering
- Strong Python experience
- Proven experience delivering RAG, LLM and Agentic AI systems into production
- Strong knowledge of conversational AI and multi-turn dialogue
- Production experience with voice AI / STT / TTS
- Experience with cloud platforms — AWS, GCP or Azure
- Strong understanding of APIs, microservices, Docker and Kubernetes
- Experience with frameworks such as LangChain, LangGraph or LlamaIndex
- Experience with vector databases such as Pinecone or Azure AI Search
- Strong communication skills and experience working with senior technical stakeholders
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Nice to have: MLOps, AI Operations, PyTorch and experience with data lake architectures.
If you’re an experienced AI Engineer looking to work on large-scale, production AI systems within an enterprise environment, get in touch for more details.