About The Position

Hands-on Senior AI Software Engineer to design, build, and scale production Agentic AI systems—agents that plan, use tools, and complete multi-step business tasks. Own end-to-end delivery of secure, reliable, and compliant AI Agents across enterprise platforms.

Requirements

  • 5–8+ years software engineering experience
  • Hands-on experience building and deploying LLM agents or tool-using AI systems
  • Strong Python skills and production backend/distributed systems experience
  • Experience with RAG, agent evaluation, observability, and cloud platforms (AWS/Azure/GCP)
  • Proven ability to deliver secure, reliable production AI systems

Nice To Haves

  • Agent frameworks (LangGraph, etc.)
  • Enterprise/regulated environments
  • Advanced RAG & Responsible AI practices

Responsibilities

  • Design and implement AI Agent architectures (planner/executor, multi-step reasoning, tool orchestration)
  • Build secure tool integrations, guardrails, approvals, and reliability patterns (retries, fallbacks, idempotency)
  • Develop reusable agent frameworks, SDKs, evaluation pipelines, RAG, and memory systems
  • Own production LLMOps: inference services, CI/CD, observability, and cost/performance optimisation
  • Embed security, privacy, and Responsible AI controls (least-privilege access, PII handling, prompt injection defences, audit trails)
  • Provide technical leadership and collaborate cross-functionally
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