Software Engineer

4 days ago

New Delhi, India Emergys Full time

Machine Learning Engineer (Agentic AI & LLMs)Position Overview We are seeking ahands-on Machine Learning Engineerwith strong expertise inLLMs, Agentic AI frameworks, and MCP-based architectures. The ideal candidate will have practical experience designing and deployingagentic flowsthat integrate RAG pipelines, knowledge bases, and multi-database interactions. This role requires aself-starterwho can not only deliver robust solutions but also actively contribute topresales discussions, customer enablement, and quick POCsto demonstrate value.Key Responsibilities Agentic AI & LLM Development Design, implement, and optimizeagentic workflowsusingLangChain, LangGraph, n8n, and related orchestration tools. Setup and manageMCP serversand integrate them into agent-driven pipelines. DevelopRAG (Retrieval-Augmented Generation) solutionsleveraging vector databases, relational databases, and MongoDB. Implementweb crawling and external MCP services(e.g., Tavily) to enhance agent capabilities. Knowledge Base Engineering Build knowledge repositories fromtext, audio, and video sourcesusing embeddings, transcription, and summarization pipelines. Enablemulti-modal knowledge extractionfor downstream agent decision-making and summarization. Proof of Concept (POC) & Presales Rapidly prototype solutions to showcase feasibility and demonstrateagentic AI architecturesto clients. Collaborate with sales and solution engineering teams to supportpresales activities, including architecture walkthroughs, technical demos, and proposal inputs. Providethought leadershipon 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 smoothdata flow across enterprise systemsto empower AI agents. Ensure secure, scalable, and efficient deployment of AI pipelines in enterprise contexts.Required Skills & Experience Strong hands-on expertise withLLMs (OpenAI, Anthropic, or open-source models)andAgentic AIframeworks. Proven experience in building agentic flows usingLangChain, LangGraph, n8n. Solid knowledge ofMCP server setup and integrationwith agent workflows. Experience inRAG architecture, vector databases, and multi-database interactions (SQL, MongoDB). Practical exposure toweb crawling and MCP integrations(e.g., Tavily, custom MCP agents). Proficiency in buildingknowledge basesfrom structured/unstructured content (text, audio, video). Ability to deliverrapid POCsand guide customers onarchitecture & integration strategy. Familiarity withcloud platforms (Azure, AWS, GCP)for AI/ML deployment. Strong problem-solving skills and aself-starter mindset.Preferred Qualifications Experience withenterprise AI solution designandcustomer-facing roles(presales, consulting). Understanding ofAI security, compliance, and governanceconsiderations. Knowledge ofdata pipelines and ETL for AI use cases. Contributions toopen-source AI/agentic frameworks.Soft Skills Excellentcommunication and presentation skillsfor customer interactions. Ability towork independentlywith minimal supervision. Strongcollaboration skillswith cross-functional teams (sales, product, delivery). Curiosity andcontinuous learning mindsetto stay ahead in AI/ML innovations.Role Type Hybrid (Pune) Involvescustomer interaction, presales support, and solution delivery

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