Sr. Gen AI Engineer

Job Description – Machine Learning Engineer (Agentic AI & LLMs)

Position Overview

We are seeking a hands-on Machine Learning Engineer with strong expertise in LLMs, Agentic AI

frameworks, and MCP-based architectures. The ideal candidate will have practical experience

designing and deploying agentic flows that integrate RAG pipelines, knowledge bases, and multi-

database interactions. This role requires a self-starter who can not only deliver robust solutions but

also actively contribute to presales discussions, customer enablement, and quick POCs to

demonstrate value.

Key Responsibilities

 Agentic AI & LLM Development

o Design, implement, and optimize agentic workflows using LangChain, LangGraph,

n8n, and related orchestration tools.

o Setup and manage MCP servers and integrate them into agent-driven pipelines.

o Develop RAG (Retrieval-Augmented Generation) solutions leveraging vector

databases, relational databases, and MongoDB.

o Implement web crawling and external MCP services (e.g., Tavily) to enhance agent

capabilities.

 Knowledge Base Engineering

o Build knowledge repositories from text, audio, and video sources using

embeddings, transcription, and summarization pipelines.

o Enable multi-modal knowledge extraction for downstream agent decision-making

and summarization.

 Proof of Concept (POC) & Presales

o Rapidly prototype solutions to showcase feasibility and demonstrate agentic AI

architectures to clients.

o Collaborate with sales and solution engineering teams to support presales activities,

including architecture walkthroughs, technical demos, and proposal inputs.

o Provide thought leadership on agentic AI best practices and tool integrations.

 Integration & Tooling

o Work with APIs, vector DBs (Pinecone, Weaviate, FAISS, etc.), relational databases,

and NoSQL stores (MongoDB).

o Enable smooth data flow across enterprise systems to empower AI agents.

o Ensure secure, scalable, and efficient deployment of AI pipelines in enterprise

contexts.

Required Skills & Experience

 Strong hands-on expertise with LLMs (OpenAI, Anthropic, or open-source models) and

Agentic AI frameworks.

 Proven experience in building agentic flows using LangChain, LangGraph, n8n.

 Solid knowledge of MCP server setup and integration with agent workflows.

 Experience in RAG architecture, vector databases, and multi-database interactions (SQL,

MongoDB).

 Practical exposure to web crawling and MCP integrations (e.g., Tavily, custom MCP agents).

 Proficiency in building knowledge bases from structured/unstructured content (text, audio,

video).

 Ability to deliver rapid POCs and guide customers on architecture & integration strategy.

 Familiarity with cloud platforms (Azure, AWS, GCP) for AI/ML deployment.

 Strong problem-solving skills and a self-starter mindset.

Preferred Qualifications

 Experience with enterprise AI solution design and customer-facing roles (presales,

consulting).

 Understanding of AI security, compliance, and governance considerations.

 Knowledge of data pipelines and ETL for AI use cases.

 Contributions to open-source AI/agentic frameworks.

Soft Skills

 Excellent communication and presentation skills for customer interactions.

 Ability to work independently with minimal supervision.

 Strong collaboration skills with cross-functional teams (sales, product, delivery).

 Curiosity and continuous learning mindset to stay ahead in AI/ML innovations.

 Involves customer interaction, presales support, and solution delivery

Job Types: Full-time, Permanent

Pay: ₹500, ₹1,800,000.00 per year

Benefits:

• Provident Fund

Work Location: In person