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
• 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
💡 Quick Summary
Seeking a career-building opportunity? The Senior Engineer 2 - AI Developer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Gurgaon offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
