Senior Engineer 2 - AI Developer

Job Description:

Roles and Responsbilities :

Implement generative and agentic AI features as production code (services, MCP, APIs, integrations), not just prototypes.

Build and maintain Retrieval‑Augmented Generation (RAG) pipelines (where applicable), embeddings, prompt templates, structured outputs and tool/function calling.

Contribute to evaluation approaches: create test cases, regression suites, and help maintain ”golden” datasets.

Apply prompt/version control to ensure changes are traceable, testable and cost‑aware.

Implement guardrails to reduce failure modes (e.g. prompt injection, data leakage, unsafe outputs).

Work within secure‑by‑design and privacy‑by‑design practices; follow approved data handling and access controls.

Contribute to logging, monitoring and basic operational support; participate in incident fixes when required.

Communicate clearly about progress, risks, unknowns and trade‑offs; ask for help early when blocked.

Implement cost‑efficient engineering patterns (e.g. caching, batching, model routing, token‑efficient prompts) in line with Technical Lead guidance

Experience, Qualification and Skills

Generative Ai LLM (Open Ai, Gemini, Anthropic etc )

Microsoft, Google / Alphabet architecture ecosystem

Access through enterprise‑approved providers (e.g. Azure OpenAI, OpenAI, Anthropic, or equivalent), using:

Model configuration for cost and performance

Function/tool calling

Chat/completions APIs

Prompt engineering, including:

System prompts, chained prompts, tool‑augmented prompts

Structured outputs (e.g. JSON schemas)

Time Type:

Full time

Job Area:

Locations:

Bupa Capability Centre India

Cycle to work scheme, Paid volunteer time, Employee mentoring programme, Private medical insurance, Financial planning services, Referral programme, Company pension, Additional leave, Health & wellbeing programme, Private dental insurance, Gym membership, Free flu jabs