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Gen Ai Engineer/Lead (with React)

  • Source: Naukri
  • Iris Software
  • Hybrid
  • Delhi
  • Full-Time
  • Senior

Job Description

Engineers and Lead (5-10 Years)

We are seeking a Frontend & GenAI Engineer to build modern, secure, and user-centric web applications for Risk solutions. This role blends high-quality React-based frontend engineering with GenAI/agentic workflow development using LangChain and LangGraph.

Required Technical Skills :

Frontend

  • Strong expertise in React (modern hooks, component architecture, state management patterns)

Programming

  • Proficiency in Python for building GenAI services, orchestration layers, and integrations
  • Ability to write clean, maintainable, testable code; strong debugging and problem-solving skills

GenAI / Agentic Frameworks

  • Demonstrated working knowledge of LangChain and LangGraph
  • Experience designing agent workflows: tool calling, structured outputs, prompt engineering, routing, fallback strategies
  • Familiarity with RAG patterns and common failure modes (hallucinations, retrieval drift, injection)

Cloud

  • Cloud-agnostic mindset: ability to design solutions deployable across major cloud providers (AWS/Azure/GCP) or on-prem containers

Datastores

  • Working knowledge of any database (SQL/NoSQL) and any vector DB (e.g., Pinecone/Weaviate/FAISS/pgvector/Elastic vector searchany is acceptable)

Good-to-Have Skills

  • Experience with API design and integration patterns (REST/GraphQL), and backend collaboration
  • Awareness of Responsible AI practices and governance considerations (auditability, traceability, model risk)
  • Experience in Risk, Compliance and Audit domain (preferred but not required)

Required Experience

  • Must be proficient in ReactJS, Python, Langchain
  • Must have at least 1 production grade GenAI application with these technologies
  • Excellent communication skills to partner with cross-functional teams and stakeholders.

Skills

  • React
  • Python
  • LangChain
  • LangGraph
  • drift
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • FAISS
  • elastic-go
  • GraphQL

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