- Proven leadership shipping agentic AI at scale across multiple products, setting organization wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
- Must Have - Expertise & Hands-on experience in Agentic AI Tech stack primarily in Microsoft (Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence) and Anthropic (Claude Cowork and Claude Code).
- Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain, and Foundry.
- RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation of harnesses for quality, cost, and latency
- Extensive knowledge and understanding of enabling and maturing AI in a SaaS landscape.
- Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks
- Must Have - knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL)
- Experience using system and performance monitoring tools (e.g. AppDynamics, Kibana, OpenTelemetry)
- BSc/BA in Computer Science or a related degree
· On-call experience with production grade systems
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