Senior Generative AI Developer

15 hours ago

Kanpur, India MindBrain Full time

Job Title:Agentic AI Developer Experience:4–6 Years Location:Remote Employment Type:ContractJob SummaryWe are seeking a highly skilledAgentic AI Developerwith a strong background in engineering and hands-on experience in building, orchestrating, and deploying intelligent AI agents. The ideal candidate will have deep expertise inPython-based Generative AI (GenAI)development,multi-agent frameworks , andLLM integrationsto design autonomous, goal-driven AI systems capable of reasoning, planning, and dynamic tool usage.Key ResponsibilitiesDesign, develop, and deployagentic AI architecturesleveraging multi-agent frameworks and LLMs. Buildautonomous, reasoning-based AI agentscapable of tool use, contextual data retrieval, and adaptive decision-making. Implement and orchestrate AI workflows using frameworks such asLangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI . Integratevector databases(Pinecone, FAISS, Weaviate) for efficient context management and semantic knowledge retrieval. Applyprompt engineering, fine-tuning, and context chainingto optimize model performance. Collaborate with cross-functional teams to deliverproduction-ready AI pipelines and microservices . Develop and integrateAPIs and event-driven architecturesfor LLM operations within cloud environments ( AWS, Azure, or GCP ). Stay abreast of the latest advancements inautonomous AI agents ,GenAI frameworks , andLLM orchestration ecosystems .Required Skills & QualificationsBachelor’s or Master’s degree inComputer Science, Engineering , or a related field. 4–6 years of experience inAI/ML or software engineering , with a focus onLLM-driven applications . Strong proficiency inPython , with hands-on experience usingLangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI . Proven expertise inagentic workflows, tool-using agents, or multi-agent orchestration systems . Experience working withvector databases(Pinecone, FAISS, Weaviate) and knowledge retrieval mechanisms. Proficiency withOpenAI, Anthropic , or open-source LLMs, including prompt tuning and optimization techniques. Familiarity withAPI integration, event-driven design patterns , andcloud platforms(AWS preferred). Stronganalytical, problem-solving, and communication skills .Nice to HaveExperience withRAG (Retrieval-Augmented Generation)pipelines andmemory-enabled agent architectures . Familiarity withAI observability toolsandLLM evaluation frameworks . Contributions toopen-source AI projectsorresearchin the field of autonomous agents.

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