We are growing our Data & AI practice, which delivers cloud data platforms, data modernisation and migration, analytics and AI-enabled engineering for global enterprise clients. You will work in cross-functional teams on long-term engagements, using contemporary cloud technologies and AI-assisted engineering practices. Location: Offshore (India) · Full time.
Role Summary
Builds LLM applications and AI agents – for clients and for AI-assisted engineering (code conversion, test generation, documentation) – with strong guardrails and measurable results.
Experience
Level
Total experience
Relevant experience (must)
AI Engineer
5–9 years
2+ years building LLM applications / agents; 3+ years Python engineering
Roles & Responsibilities
Design and build LLM applications and agents with tool use
Build AI-assisted engineering tools: code inventory and conversion, test generation, documentation
Engineer prompts and context; build evaluation sets and measure accuracy
Implement guardrails: data protection, approved tools, audit trail
Track productivity and token cost; optimise with caching and batching
Integrate agents with code repositories and CI pipelines
Mandatory Skills
Python
LLM APIs (Amazon Bedrock, Anthropic, OpenAI or similar)
Agent frameworks and tool use
Prompt / context engineering and evaluation
SQL and code parsing basics
Nice to Have
Retrieval-augmented generation
Data engineering background
AI coding assistants at team scale
Cloud security for AI workloads
Also Expected
Explicit communication with remote client stakeholders across time zones; Comfortable using AI coding and productivity tools, and reviewing AI-generated work critically; Agile ways of working; ownership and accountability. Certifications: AWS Certified AI Practitioner / ML Engineer (plus).