AI Developer

Fenebris India; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Fenebris India in Uttar Pradesh seeks an experienced AI/GenAI software engineer to design, develop, and deploy advanced AI solutions. You will build backend services using Python and FastAPI, implement LangChain/LangGraph workflows, and integrate Azure AI services into production pipelines, while collaborating with clients on requirements and demos.

The role requires hands-on expertise in RAG architectures, vector search, REST APIs, and thorough testing.

Qualifications

• 6 years of software development experience with 3+ years focused on AI/GenAI solutions.
• Strong Python development skills; experience building APIs with FastAPI.
• Hands-on experience with LangChain and LangGraph for building LLM-powered applications.
• Practical experience with RAG architectures and vector/semantic search.
• Familiarity with Azure Document Intelligence and Azure AI Search.
• Experience with Microsoft Foundry or similar AI development platforms.
• Solid understanding of REST APIs, Swagger/OpenAPI documentation, and JSON data handling.

Responsibilities

• Develop and deploy AI solutions including RAG systems, chatbots, document intelligence pipelines, and structured data extraction workflows.
• Build backend services and APIs using Python and FastAPI, with well documented Swagger/OpenAPI specifications.
• Implement LangChain and LangGraph-based agentic workflows; instrument and evaluate them using LangSmith.
• Integrate Azure services into production pipelines.
• Azure Document Intelligence, Azure AI Search, and Azure-hosted LLMs into production pipelines.
• Work with Microsoft Foundry for AI application development and deployment.
• Interact with clients to understand requirements, provide updates, and participate in solution walkthroughs and demos.
• Write clean, maintainable, and well-tested code; participate in code reviews.
• Troubleshoot, optimize, and continuously improve deployed AI solutions.

Skills

Python

FastAPI

LangChain

LangGraph

REST APIs

Swagger/OpenAPI

Azure services

Tools

LangChain

LangGraph

FastAPI

Azure Document Intelligence

Azure AI Search

Azure Foundry

Swagger/OpenAPI

REST APIs

JSON handling

Job description

Key Responsibilities

• Develop and deploy AI solutions including RAG systems, chatbots, document intelligence pipelines, and structured data extraction workflows.
• Build backend services and APIs using Python and FastAPI, with well documented Swagger/OpenAPI specifications.
• Implement LangChain and LangGraph-based agentic workflows; instrument and evaluate them using LangSmith.
• Integrate Azure services
• Azure Document Intelligence, Azure AI Search, and Azure-hosted LLMs
• into production pipelines.
• Work with Microsoft Foundry for AI application development and deployment.
• Interact with clients to understand requirements, provide updates, and participate in solution walkthroughs and demos.
• Write clean, maintainable, and well-tested code; participate in code reviews.
• Troubleshoot, optimize, and continuously improve deployed AI solutions.

Required Skills & Experience

• 6 years of software development experience with 3+ years focused on AI/GenAI solutions.
• Strong Python development skills; experience building APIs with FastAPI.
• Hands-on experience with LangChain and LangGraph for building LLM-powered applications.
• Practical experience with RAG (Retrieval-Augmented Generation) architectures and vector/semantic search.
• Familiarity with Azure Document Intelligence and Azure AI Search.
• Experience with Microsoft Foundry or similar AI development platforms.
• Solid understanding of REST APIs, Swagger/OpenAPI documentation, and JSON data handling.
• Ability to communicate effectively with clients and articulate technical concepts clearly.

Nice to Have

• Experience with structured/unstructured data extraction projects (invoices, contracts, reports, tables).
• Exposure to document generation pipelines using AI.
• Familiarity with LangSmith for observability, tracing, and evaluation of LLM applications.
• Experience working in Agile/Scrum delivery environments.