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)

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