Engineering Tech Lead - Agentic AI LLM

Role Overview We are looking for an Engineering Tech Lead with strong full-stack engineering and hands-on Agentic AI / LLM experience to build production-grade AI services, agentic workflows and scalable engineering platforms. Must-Have Skills Full-Stack Engineering

• Java / Spring Boot
• REST APIs & Event-Driven Services
• React & API Integration
• PostgreSQL & Redis
• Kafka / Messaging & Streaming Agentic AI / LLM
• Prompt Engineering for Production LLM Applications
• Agentic AI / Autonomous Agents
• Multi-Agent Systems & Tool-Use Workflows
• Planning Loops & Memory-Augmented Reasoning
• Structured JSON / Function Calling
• Multi-Turn Conversations
• LLM Evaluation & Observability
• Guardrails & Output Validation
• LangSmith / PromptFlow / Braintrust or Custom Evaluation Pipelines DevOps / Cloud
• Kubernetes – Deployments, Services, Ingress, Helm, Kustomize, HPA, RBAC
• CI/CD – GitHub Actions / GitLab CI / Jenkins
• Terraform / Infrastructure as Code
• AWS / Azure / GCP Key Responsibilities
• Design, build and deploy production-quality services.
• Lead development of Agentic AI and LLM-powered systems.
• Design and optimise prompts for reasoning, classification, summarisation, code generation and structured outputs.
• Build and manage prompt libraries and versioning strategies.
• Develop multi-agent and tool-use workflows.
• Implement LLM observability, tracing, evaluation and guardrails.
• Optimise CI/CD and platform observability.
• Work with product and domain teams to translate business requirements into AI solutions.
• Support responsible AI deployment, human-in-the-loop workflows and risk mitigation.