Working Hours

2:00 PM – 11:00 PM IST

About the Role

We are hiring a hands-on AI Developer to build intelligent, production-ready AI solutions

across a variety of domains — from document processing and data extraction to

conversational AI and automated report generation. You will work directly with clients

and internal teams to deliver high-quality AI-powered applications.

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

• 3–6 years of software development experience with 2+ 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.

Working Hours

2:00 PM – 11:00 PM IST

About the Role

We are hiring a hands-on AI Developer to build intelligent, production-ready AI solutions

across a variety of domains — from document processing and data extraction to

conversational AI and automated report generation. You will work directly with clients

and internal teams to deliver high-quality AI-powered applications.

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

• 3–6 years of software development experience with 2+ 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.