Senior AI Engineer

We are looking for a Senior AI Engineer to lead the technical design and delivery of enterprise AI and Generative AI solutions. You will remain hands-on while guiding engineers, making architecture decisions and ensuring solutions are secure, reliable and ready for production.

Key Responsibilities:

• Own solution design and technical delivery for conversational AI, RAG applications and agentic systems.
• Design and implement multi-agent workflows covering planning, retrieval, tool execution, memory and evaluation.
• Define retrieval architectures using vector search, hybrid search and, where appropriate, graph databases.
• Build and integrate scalable AI services with enterprise applications, APIs and cloud platforms, primarily Azure.
• Establish LLMOps practices covering prompt and model versioning, CI/CD, automated evaluation, monitoring and regression testing.
• Implement access controls, auditability, privacy safeguards and responsible AI guardrails.
• Optimise accuracy, latency, reliability and cost using production metrics and user feedback.
• Translate business requirements into technical solutions, lead design and code reviews, and mentor engineers.

Required Skills and Experience:

• 8-13 years of software engineering experience, including substantial hands-on AI/ML experience and delivery of production GenAI solutions.
• Strong Python, SQL, backend engineering and system design skills.
• Proven experience with LLMs, RAG, embeddings, prompt engineering and evaluation.
• Practical experience designing agentic or multi-agent systems using LangGraph, LangChain or equivalent frameworks.
• Strong experience with vector databases, enterprise search and structured/unstructured data integration.
• Experience deploying and operating cloud applications, preferably using Azure OpenAI, Azure AI Search and related Azure services.
• Working knowledge of containers, CI/CD, observability and MLOps/LLMOps.
• Ability to make technical trade-offs, manage delivery risks and communicate clearly with business and technical stakeholders.

Desirable:

• Experience with Databricks, Spark, Neo4j, Document Intelligence, event-driven integration, model fine-tuning or frameworks such as PyTorch and TensorFlow.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science or a related discipline, or equivalent practical experience.

Skills

Azure, Azure AI Search, Azure OpenAI, Embeddings, Evaluation, LLM, Prompt Engineering, Python, RAG