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Responsibilities
Partner with business and technical stakeholders to understand workflows, challenges, and success metrics
Translate ambiguous problems into clear technical solutions, designs, and delivery plans
Design and build AI-powered applications using LLMs, APIs, and enterprise data systems
Develop production-grade backend services using Python and frameworks like FastAPI or Flask
Build and maintain RAG systems, including document ingestion and normalization, chunking, metadata, and embedding strategies, vector, keyword, and hybrid search, reranking and relevance tuning, source attribution and grounding
Integrate AI solutions with SharePoint, Microsoft Graph, SQL databases, internal APIs, and business applications
Design secure systems that respect access control, governance, and enterprise compliance requirements
Build observable, reliable, and maintainable AI workflows in production environments
Establish evaluation frameworks for LLM systems (accuracy, groundedness, latency, completeness, and failure modes)
Iterate rapidly through prototypes, pilots, and production releases based on user feedback
Collaborate with engineering, data, security, and product teams to ensure adoption and long-term sustainability
Make pragmatic technology choices across Azure OpenAI, Azure AI Search, and open-source tools
Document architecture, decisions, trade-offs, and operational requirements
Requirements
5+ years of experience in software engineering, applied AI, or enterprise systems
Strong Python development experience building production-grade APIs or services
Hands-on experience with large language model applications
Experience with Azure OpenAI Service, OpenAI APIs, or similar platforms
Proven experience designing and building RAG systems
Strong understanding of prompt design, grounding, context management, and LLM limitations
Experience integrating with enterprise data sources, APIs, and document systems
Ability to work directly with business stakeholders and translate needs into working solutions
Experience working within secure, governed enterprise environments
Strong communication, systems thinking, and problem-solving skills
Ability to balance speed, usability, scalability, and maintainability.
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