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Popular AI title, Pune metro, and broad LangChain/AWS/cloud/backend requirements increase competition.
Core ML, Python and cloud skills transfer widely, but LLM tool specifics moderately limit portability.
Explicit 2–4 year requirement plus mandatory LangChain, Bedrock, Python, Java, and AWS skills.
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Design and develop AI workflows and multi-step AI agents using LangGraph, LangChain, and AWS Bedrock foundation models for document processing and conversational AI.
Develop and optimize scalable backend services and microservices with Python and Java, integrating AWS services like DynamoDB for managing AI workflow data.
Collaborate with cross-functional teams to design and deliver AI-driven solutions focusing on performance, scalability, and reliability.
2 to 4 years of experience in AI/ML or backend software development.
Strong proficiency in Python and Java programming languages.
Hands-on experience with LangChain, LangGraph, AWS Bedrock, DynamoDB, and other AWS cloud services.
Must be willing to work from office in Pune (Location requirement).
Experienced in building complex AI workflows and multi-step AI agents integrating toolchains and human-in-the-loop processes.
Comfortable working with cloud-based AI services and scalable backend microservices in a collaborative cross-functional environment.
Knowledgeable in Generative AI, Large Language Models (LLMs), and able to optimize AI models for production performance and reliability.
