AI Engineer

• Design, build, deploy and monitor AI applications end-to-end - chatbots, RAG-based assistants, document-intelligence pipelines, agentic workflows and internal tools.
• Write clean, tested, production-grade Python code and participate actively in code reviews.
• Build retrieval pipelines - chunking, embeddings, hybrid search, reranking - and iterate based on evaluation results.
• Integrate AI features with enterprise systems, APIs, databases and third-party platforms.
• Work with self-hosted open-weight models alongside API-based models; choose the right tool for the job based on cost, latency, privacy and quality.
• Instrument systems for latency (p50/p95), cost per request, memory and token usage, response quality and tool-call success rate - and act on what you measure.
• Build evaluation harnesses before shipping - not eyeball outputs.
• Contribute to fine-tuning and model-adaptation experiments under senior guidance.
• Sit with business users to understand real workflows and translate them into working prototypes quickly.
• Own on-call for what you ship; document your work so it can be handed off, extended and maintained.

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