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Job Description
Candidate should have 6-8 years of strong development experience in Microsoft Technologies like Azure or Python with 3+ years in AI.
AI Fluency & Responsible AI: Demonstrate a strong understanding of how AI systems operate, including their ethical implications. Design agents that behave responsibly, aligning with principles of fairness, transparency, and accountability.
Prompt Engineering: Develop effective prompts to guide agent behavior, particularly for declarative and retrieval-based agents. This includes optimizing prompt structure for clarity, relevance, and precision.
Conversation Design & Intent Recognition: Build agents capable of accurately interpreting user intent and responding naturally. This involves designing fallback strategies, entity recognition, and fluid dialogue flows to ensure robust and intuitive interactions.
API Integration & Workflow Automation: Enable agents to interact with internal and external systems to trigger workflows and automate tasks. Proficiency in API design, orchestration, and error handling is essential.
Memory & Context Management: Implement dynamic context retention strategies, allowing agents to use session variables, grounding data, and user-specific instructions to personalize and maintain coherent interactions.
Autonomy & Planning: Design advanced agents with capabilities for dynamic planning, exception handling, and self‑improvement. This includes enabling agents to adapt and learn from interactions over time.
Security, Performance & Debugging: Ensure agents are secure, performant, and maintainable. This includes implementing guardrails, optimizing performance, and providing tools for effective troubleshooting.