[Only 24h Left] Software Engineer

6 days ago

Pune, India 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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