Assistant Manager - Data Science

• Build RAG pipelines and agentic AI frameworks to enable dynamic, multi-step reasoning.
• Implement chunking and embedding strategies to improve document retrieval and context management.
• Orchestrate AI agents using LangChain or LangGraph, including MCP-based deployment.
• Integrate and manage vector databases for fast, scalable semantic search.
• Apply prompt-engineering techniques to enhance LLM performance and reliability.
• Utilize Git/GitLab for version control and CI/CD workflows.
• Develop and deploy solutions on AWS services such as Bedrock, Lambda, S3, and EventBridge.
• Work cross-functionally with cloud, product, and engineering teams to ensure best practices for scalability and security.

• Bachelors or Masters in Computer Science, Data Science, or related field.
• 3+ years of Python development experience with at least 1+ years focused on LLMs and Gen-AI RAG based agentic applications.
• Proven experience with chunking, embeddings, and retrieval-augmented generation.
• Strong understanding of agentic AI frameworks and MCP-based deployments.
• Hands-on experience with Git/GitLab and AWS cloud services (Bedrock, Lambda, S3, EventBridge).
• Proficiency in vector databases and semantic search architectures.
• Expertise in prompt engineering and performance optimization of LLMs.
• Excellent problem-solving, communication, and collaboration skills.
• LangChain or LangGraph orchestration experience is preferred.

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