Assistant Manager - Data Science
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Job Description
- *Designation : Assistant Manager \- Data Science**
- *Level : L3**
- *Location : Bengaluru, Karnataka , India (BLR)**
- *Experience : 6 to 12 Years**
**Job Role**
We are seeking a highly skilled GenAI Lead with 6\+ years of experience to design, build, and deploy cutting\-edge Large Language Model (LLM) solutions. This role focuses on creating robust retrieval\-augmented generation (RAG) pipelines, scalable AI agents, and high\-performance vector database integrations to power intelligent applications. You will collaborate closely with product managers, data scientists, and cloud engineers to deliver production\-ready AI services that are efficient, reliable, and secure.
- 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.
**Responsibilities**
- Bachelor’s or Master’s 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.
**Required skills**
Generative AI, LLM, AWS Bedrock, RAG, Gitlab, Communication Skills, Stakeholder Management.
Job Snapshot
Updated Date
23\-10\-2026
Job ID
J\_6266
Location
Bengaluru, Karnataka, India
Experience
6 \- 12 Years
Employee Type
Permanent
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Job Overview
- Job type
- Full-time
- Work mode
- On-site
- Location
- Bengaluru
- Posted
- 6d ago
- Source
- Indeed