Job Description
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Job Title: AI Developer
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Client Job ID: XUS_IN_AI_Developer
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Priority: High / Critical
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Job Type: Contract
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Work Authorization / Notice Period: Immediate Joiner or Serving with 30 days left maximum
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Experience: 5 to 10 Years
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Location: Pune, Bangalore, Gurgaon, Hyderabad, Chennai, Bhopal, Jaipur
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Country: India
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Primary Skills: Python, AI Agents, Agentic AI, LLMs (OpenAI GPT, Claude, Gemini, Llama), LangChain, LangGraph, CrewAI, AutoGen, RAG, Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate), GitHub Copilot, APIs, Microservices, OOP, Azure OpenAI / AWS / GCP AI Services
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Secondary / Preferred Skills: Microsoft Copilot Studio, Semantic Kernel, MLOps, Model Deployment, Kubernetes, Knowledge Graphs, AI Orchestration Frameworks
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Design, develop, and deploy AI Agents for enterprise use cases.
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Build intelligent automation solutions using LLMs, Generative AI, and agent-based architectures.
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Develop and maintain scalable backend systems and APIs.
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Implement Retrieval-Augmented Generation (RAG) solutions and integrate vector databases.
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Utilize GitHub Copilot and AI-assisted development tools to improve development productivity (Must Have).
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Integrate AI solutions with business applications, databases, and cloud platforms.
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Optimize prompts, workflows, and AI model performance.
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Collaborate with cross-functional teams to deliver innovative AI-driven solutions.
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Conduct code reviews and ensure adherence to software engineering best practices.
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5 to 10 years of strong software development experience.
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Expert-level coding skills in Python (mandatory).
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Hands-on experience building AI Agents and Agentic AI solutions.
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Experience with LLMs (OpenAI GPT, Claude, Gemini, Llama, etc.).
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Working knowledge of LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
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Strong experience in AI Automation and workflow orchestration.
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Experience with RAG and vector databases (Pinecone, ChromaDB, FAISS, Weaviate).
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Experience using GitHub Copilot in software development projects.
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Strong understanding of APIs, Microservices, OOP, and Design Patterns.
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Experience with Azure OpenAI, AWS, or GCP AI services.
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Knowledge of Git, CI/CD, Docker, and cloud-native development.
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Microsoft Copilot Studio
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Semantic Kernel
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MLOps and Model Deployment
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Kubernetes
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Knowledge Graphs and AI Orchestration Frameworks
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