Senior Technical Lead

Experience: Not Available to Not Available years

Location: Noida, India

Skills: Python, LLMs, agent frameworks, prompt engineering, embeddings, vector search, Azure, testing, full-stack development, Responsible AI practices, supply chain AI, analytics

Job Summary
AI Engineer – Agentic AI & LLM Applications (Azure)
Role Summary
AI Engineers will build, evaluate, and operate LLM-powered agents and workflows using Microsoft AI Foundry and Azure AI services. This role combines deep Python development with prompt engineering, agent orchestration, and AI evaluation to deliver reliable supply chain AI solutions.
Key Responsibilities
Develop AI agents for supply chain planning, forecasting, exception handling, and decision support.
Implement agent orchestration logic (task routing, tool invocation, memory management).
Build RAG pipelines using Azure AI Search, vector embeddings, and enterprise data sources.
Design and optimize prompts and system instructions for accuracy and consistency.
Implement automated evaluation pipelines:
• Prompt and response evaluation
• Regression testing for agent behavior
• Cost and latency monitoring
Apply guardrails and safety mechanisms (policy enforcement, output validation).
Integrate AI services into APIs and applications.
Collaborate with data engineers to ensure data quality and relevance.
Required Skills & Experience




Robust Python engineering skills.
Hands-on experience with LLMs and agent frameworks.
Solid understanding of prompt engineering, embeddings, vector search.
Experience deploying AI solutions on Azure.
Experience with AI evaluation, testing, and monitoring.
Nice to Have
Full-stack development experience.
Familiarity with Responsible AI practices.
Supply chain AI or analytics experience.
Key Responsibilities
1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization, implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
Skill Requirements
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Other Requirements
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