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 Robust technical ownership and mentoring ability; clear communication across technical, product and customer stakeholders.

Skills

Python, Agentic AI, Generative AI

📌 Senior AI Engineer (Thiruvananthapuram)
🏢 UST
📍 Thiruvananthapuram