Work Location: Bangalore

About Us

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 modern 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

Clear 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).

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