Gen AI Lead Engineer - Bangalore

Teamplus Staffing Solution; Bengaluru; Vor Ort; INR 4.000.000 - 6.000.000; Vollzeit

Zusammenfassung

Teamplus Staffing Solution is seeking a GenAI Lead in Bangalore with 8+ years of experience, including 3+ years in Python for LLMs and Gen-AI RAG apps. Lead a hands-on team delivering production-ready AI services for a global FinTech client.

You will design scalable retrieval-augmented generation pipelines, integrate vector stores, and deploy on AWS, collaborating with product, data science, and cloud engineers. Immediate joining available.

Qualifikationen

• 8+ years of experience, 3+ years in Python development.
• Strong with GenAI and LLMs.
• Experience building RAG-based agentic applications.
• Proficient with vector databases and embeddings.
• Hands-on with AWS cloud services (Bedrock, Lambda, S3, EventBridge).

Aufgaben

• Build RAG pipelines and agentic AI frameworks for multi-step reasoning.
• Implement chunking and embeddings to improve retrieval and context.
• Orchestrate AI agents using LangChain or LangGraph with MCP-based deployment.
• Integrate and manage vector databases for fast semantic search.
• Apply prompt-engineering to enhance LLM performance and reliability.
• Develop and deploy solutions on AWS services (Bedrock, Lambda, S3, EventBridge).
• Collaborate cross-functionally with cloud, product, and engineering teams for scalability and security.

Kenntnisse

Python development

LLMs

GenAI

RAG pipelines

LangChain/LangGraph

AWS cloud

Vector databases

Semantic search

Prompt engineering

Team leadership

Ausbildung

Bachelor's or Master's in CS/Data Science

Tools

Bedrock

Lambda

S3

EventBridge

Git/GitLab

LangChain

LangGraph

MCP deployments

Jobbeschreibung

Hi,
We are having opening for GenAI Lead - Bangalore
Job Summary:
We are seeking a highly skilled GenAI Lead with 8+ 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.
Working Days: Monday Friday
Job Timing: Dayshift
Note: This will be a hands-on technical lead role leading a team of GenAI engineers delivering projects that will reach C-suite leaders and are put into production to serve consumers / merchants of the global FinTech client. Ideal candidate is the one strong with Python, GenAI and Cloud (AWS Preferred, but any cloud experience is accepted).
Position / DesignationGenAI LeadQualificationBachelors or Masters in Computer Science, Data Science, or related field.Years of Experience8+ years experience which includes 3+ years of Python development experience with at least 1+ years focused on LLMs and Gen-AI RAG based agentic applications.Permanent / Contract (If contract, period ?)PermanentLocationBangalore Bellandur Number of posts1GenderMale / FemaleAnnual CTC / SalaryAs per IndustryRoles & ResponsibilitiesBuild 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.
SkillsBachelors or Masters in Computer Science, Data Science, or related field.
Total of 8+ years experience which includes 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.
Joining DateImmediate joiners