Senior AI Engineer

We are looking for experienced Senior AI Engineer

Location: Kochi, Trivandrum

Work Mode: Hybrid

Preferred: Immediate joiners / 30-60 days’ notice / Currently Serving Notice

Required Skills & Experience:

Hands-on Senior AI Engineer with strong software engineering fundamentals and proven delivery of production-grade AI solutions, to lead reusable AI-native accelerators and platform capabilities under 'Build Once, Reuse Many.' This is a senior/lead role – owns architecture decisions, mentors engineers, and drives adoption, not just feature delivery. Not a prompt-engineering-only role - strong engineering depth and product thinking required.

Key Responsibilities:

• Design and deliver scalable AI-enabled applications, reusable accelerators and platform components

• Build Python-based APIs, backend services, microservices and enterprise integrations

• Implement GenAI solutions: RAG, enterprise search, grounding, prompt orchestration, evaluation, guardrails

• Develop agentic and multi-agent workflows (tools, state, memory, orchestration, human-in-the-loop)

• Apply AI-DLC/AI-assisted SDLC practices across design, coding, testing, review and release

• Deploy and operate on AWS (Docker, CI/CD, security, telemetry, monitoring)

• Mentor engineers; contribute to technical design and engineering standards Mandatory Skills

• Python (APIs, microservices, automation, async processing); 7-10 yrs engineering experience

• 2+ years hands-on experience in GenAI/LLM engineering, RAG, embeddings, including demonstrated agentic or multi-agent system development

• Agentic AI: orchestration frameworks, tool integrations, state, memory, workflow automation — hands-on with two or more of: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Bedrock/Claude

• Vector/graph databases: OpenSearch, Pinecone, Weaviate, Neo4j, pgvector

• Platform/accelerator engineering experience (building reusable components, not one-off project solutions)

• AWS cloud, container-based deployment (Docker, CI/CD, Git, testing, observability)

• Strong engineering fundamentals: architecture, design patterns, clean code, system design

• AI-assisted engineering tools (Claude Code, GitHub Copilot or equivalent) Preferred Skills

• MCP, A2A, spec-driven development (SDD)

• LLM-Ops/observability: LangSmith, Langfuse, Arize, W&B

• GenAI eval, guardrails, prompt-injection defense, secure handling of enterprise data

• Airflow/Spark or streaming data pipeline experience

• React/Angular, TypeScript, REST APIs

• Kubernetes, infrastructure as code

• Azure or GCP (in addition to AWS) Behavioural Strong technical ownership and mentoring ability; clear communication across technical, product and customer stakeholders.

Skills

Python, Agentic AI, Generative AI