Senior AI Engineer

UST; Thiruvananthapuram; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

UST is seeking an experienced Senior AI Engineer in India to drive architecture decisions, mentor engineers, and deliver production-grade AI platforms and reusable accelerators. This role focuses on building AI-native capabilities beyond prompt engineering, with strong emphasis on scalable software engineering and product thinking.

The candidate will own design decisions, lead multi-agent workflows, and ensure robust deployment on AWS, Docker, CI/CD, and observability.

Qualifications

• Senior/lead role with architecture ownership and mentoring.
• Design scalable AI-enabled apps and reusable accelerators.
• Deploy on AWS with Docker/CI/CD and observability.
• Experience delivering production-grade AI solutions.

Responsibilities

• Design and deliver scalable AI-enabled applications, reusable accelerators and platform components
• Build Python-based APIs, backend services, microservices and enterprise integrations
• 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

Skills

GenAI/LLM engineering

Agentic AI orchestration

Platform/accelerator eng

AWS Docker CI/CD

AI tools (Claude Copilot)

LLM observability

Guardrails eval

Data pipelines

Kubernetes

Azure/GCP

Job description

We are looking for experienced Senior AI Engineer

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
• 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

Mandatory Skills

• 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
• Platform/accelerator engineering experience (building reusable components, not one-off project solutions)
• AWS cloud, container-based deployment (Docker, CI/CD, Git, testing, observability)
• AI-assisted engineering tools (Claude Code, GitHub Copilot or equivalent) Preferred Skills

Preferred Skills

• 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
• 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.