Machine Learning Engineer (Agentic AI & LLMs)

Emergys; Pune District; Hybrid; INR 1,200,000 - 2,100,000; Full time

Job summary

Emergys Corp. seeks a hands-on Machine Learning Engineer with expert knowledge of LLMs, agentic AI, and MCP architectures to design and deploy agentic flows with RAG pipelines and multi-database access.

You will support presales, enable customers, and deliver rapid POCs to demonstrate value, while ensuring scalable, secure AI deployments in enterprise environments. Collaboration with sales, product, and delivery teams is expected to tailor solutions to client needs.

Qualifications

• Experience designing agentic AI workflows with LLMs and MCPs.
• Proven ability to build and deploy RAG pipelines across databases.
• Experience with web crawling and external MCP services.

Responsibilities

• Design, implement, and optimize agentic workflows using LangChain, LangGraph, n8n.
• Prototype rapid POCs and support presales activities for clients.
• Develop and integrate RAG solutions with vector and relational databases.
• Ensure secure, scalable deployment of AI pipelines in enterprise contexts.

Skills

LangChain

LangGraph

n8n

LLMs

RAG architecture

Agentic AI

Knowledge bases

AI architecture

Cloud deployment

Cross-functional collaboration

Tools

Pinecone

Weaviate

FAISS

MongoDB

Azure

AWS

GCP

Job description

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:

• Design, implement, and optimize agentic workflows using LangChain, LangGraph, n8n, and related orchestration
  tools.
• Develop RAG (Retrieval-Augmented Generation) solutions leveraging vector databases, relational databases, and
  MongoDB.
• Implement web crawling and external MCP services (e.g., Tavily) to enhance agent capabilities.
• Build knowledge repositories from text, audio, and video sources using embeddings, transcription, and summarization pipelines.
• Enable multi-modal knowledge extraction for downstream agent decision-making and summarization.

Proof of Concept (POC) & Presales:

• Rapidly prototype solutions to showcase feasibility and demonstrate agentic AI architectures to clients.
• Collaborate with sales and solution engineering teams to support presales activities, including architecture walkthroughs, technical demos, and proposal inputs.
• Provide thought leadership on agentic AI best practices and tool integrations.

Integration & Tooling:

• Work with APIs, vector DBs (Pinecone, Weaviate, FAISS, etc.), relational databases, and NoSQL stores (MongoDB).
• Enable smooth data flow across enterprise systems to empower AI agents.
• Ensure secure, scalable, and efficient deployment of AI pipelines in enterprise contexts.

Required Skills & Experience:

• 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.

Role Type:

• Hybrid (Pune)
• Involves customer interaction, presales support, and solution delivery