Software Engineer

3 days ago

Pune Maharashtra India, Maharashtra Emergys Full time

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
  • Design, implement, and optimize agentic workflows using LangChain, LangGraph, n8n, and related orchestration tools.
  • Setup and manage MCP servers and integrate them into agent-driven pipelines.
  • 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.
  • Knowledge Base Engineering
  • 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

  • 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.


Role Type

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

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