Agentic AI Developer
2 weeks ago
This role is for one of the Weekday's clients
Salary range: Rs Rs ie INR 25-30 LPA)
Min Experience: 6 years
Location: Pune
JobType: full-time
We are looking for a seasoned Agentic AI Developer to design, build, and deploy advanced AI agent systems using cloud-native technologies and cutting-edge frameworks. You'll work on creating LLM-powered, reasoning-enabled agentic solutions, leveraging the Azure AI ecosystem, and integrating them into real-world products and systems. This role calls for someone who can move fast, prototype intelligently, and deliver scalable, production-ready AI infrastructure while collaborating with cross-functional teams.
RequirementsKey Responsibilities
- Architect and implement agentic AI systems leveraging Azure OpenAI and GPT-based models.
- Build intelligent agent frameworks using tools such as LangChain, Semantic Kernel, AutoGen, or custom-designed solutions.
- Develop Retrieval-Augmented Generation (RAG) pipelines using Azure Cognitive Search or vector DBs to enable grounded, high-accuracy responses.
- Deploy, maintain, and monitor models using Azure Machine Learning with a focus on scalability and reliability.
- Create orchestration workflows using Azure Bot Service, Logic Apps, or similar automation platforms.
- Implement semantic search and vector database solutions (Pinecone, FAISS, Weaviate, Cosmos DB with vector search).
- Design and deliver cloud-native microservices and APIs that support large-scale AI agent systems.
- Rapidly prototype new agentic capabilities and iterate based on user and business feedback.
- Collaborate closely with engineering, product, and business teams to deliver end-to-end AI solutions that align with strategic objectives.
What Makes You a Great Fit
- 6–8+ years of hands-on development experience in Python, C#, or with strong backend fundamentals.
- Practical expertise in the Azure AI ecosystem — Azure OpenAI, Azure Cognitive Search, Azure ML, and surrounding services.
- Proven capability to build agentic frameworks using LangChain, Semantic Kernel, AutoGen, or equivalent tools.
- Solid understanding of vector databases and semantic retrieval technologies (Pinecone, FAISS, Weaviate, etc.).
- Strong command over API development, microservices, and cloud-native architectural patterns.
- Ability to work independently in a fast-paced environment, delivering high-quality prototypes and production-grade AI components.
- Strong collaboration and communication skills for working with cross-functional teams.
- Ready to join immediately or within a short notice period, enabling quick onboarding into active AI initiatives.
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