GEN AI / Agentic AI Engineer

Role & responsibilities

Role Purpose

Own and deliver endtoend GenAI and agentic AI modules, driving design decisions, best practices, and mentoring JL4 engineers.

Key Responsibilities

• Design and implement productiongrade GenAI architectures
• Own AWS Bedrock integrations (models, KBs, guardrails, cost controls)
• Build agentic systems with planning, memory, retries, and state
• Lead LangGraph workflows (conditional routing, interrupts, HITL)
• Define evaluation, observability, and cost optimisation strategies
• Drive CI/CD, Docker, IaC, and security practices
• Mentor juniors and participate in design reviews

MustHave Skills

Advanced Python - Async patterns, multiprocessing, Profiling, performance tuning, Clean project structuring & testing strategy

AWS Bedrock - Model selection & access policies, Streaming, tool-use, guardrails, Knowledge base design & scaling,

GenAI / Agentic AI - Task decomposition, long-running workflows, Multi-agent patterns, Evaluation, grounding, hallucination control, Cost, latency, success KPIs. LangChain & LangGraph nodes, edges, interrupts, LCEL, agents, evaluators, Persistence, resumes, HITL

DevOps & Platform Docker multi-stage builds,CI/CD ownership, Terraform, secrets , management, SAST/DAST awareness

Good to Have

Production RAG optimization experience, Responsible AI / Guardrails exposure, Drift detection & monitoring, Strong articulation & stakeholder interaction, Ownership mindset, Mentoring & technical leadership

Preferred candidate profile