Experience: 9-12 years

Location: Pune, India (Hybrid)

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.
- 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 productive 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

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