Job Description:
Roles and Responsbilities :
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Implement generative and agentic AI features as production code (services, MCP, APIs, integrations), not just prototypes.
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Build and maintain Retrieval‑Augmented Generation (RAG) pipelines (where applicable), embeddings, prompt templates, structured outputs and tool/function calling.
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Contribute to evaluation approaches: create test cases, regression suites, and help maintain ”golden” datasets.
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Apply prompt/version control to ensure changes are traceable, testable and cost‑aware.
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Implement guardrails to reduce failure modes (e.g. prompt injection, data leakage, unsafe outputs).
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Work within secure‑by‑design and privacy‑by‑design practices; follow approved data handling and access controls.
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Contribute to logging, monitoring and basic operational support; participate in incident fixes when required.
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Communicate clearly about progress, risks, unknowns and trade‑offs; ask for help early when blocked.
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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 )
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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
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Function/tool calling
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Chat/completions APIs
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Prompt engineering, including:
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System prompts, chained prompts, tool‑augmented prompts
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Structured outputs (e.g. JSON schemas)
Time Type:
Full time
Job Area:
Locations:
Bupa Capability Centre India
Additional leave, Company pension, Referral programme, Gym membership, Financial planning services, Paid volunteer time, Private medical insurance, Cycle to work scheme, Health & wellbeing programme, Employee mentoring programme, Free flu jabs, Private dental insurance
