Senior GenAI Application Engineer (Python, Agentic AI & AWS)

Senior GenAI Application Engineer

To design, build, and deploy enterprise-grade Generative AI and Agentic AI solutions. This role is ideal for an experienced software engineer with a strong Python backend development background who has hands-on experience building production-ready AI applications.

You will work on developing intelligent AI assistants, agentic workflows, Retrieval-Augmented Generation (RAG) applications, and AI-powered enterprise solutions that integrate seamlessly with existing business applications. The ideal candidate should be passionate about software engineering, cloud technologies, and production deployment of AI solutions.

Key Responsibilities

• Design, develop, and deploy enterprise-grade GenAI and Agentic AI applications.
• Build scalable backend services using Python, FastAPI, Flask, or Django.
• Develop intelligent AI assistants, RAG applications, and autonomous AI agents.
• Integrate LLM-powered capabilities into existing enterprise applications.
• Build and consume RESTful APIs and microservices.
• Design secure and scalable AI architectures using Model Context Protocol (MCP).
• Develop and integrate AI tools, workflows, and external services with agentic AI frameworks.
• Deploy AI applications using AWS cloud services and containerized environments.
• Build production-ready solutions with CI/CD pipelines, automated testing, and monitoring.
• Work closely with cross-functional teams to convert Proof of Concepts (POCs) into scalable production applications.
• Troubleshoot application, API, database, and deployment issues.
• Participate in Agile/Scrum ceremonies and contribute to technical design discussions.

Required SkillsProgramming & Backend Development

• Strong hands-on experience with Python.
• Experience with FastAPI (preferred), Flask, or Django.
• REST API development.
• Backend service development.
• Microservices architecture.
• Business logic implementation.
• Unit testing and debugging.
• Lambda functions and batch-processing applications.

Generative AI & Agentic AI

Hands-on experience with one or more of the following:

• LangGraph
• AWS Strands Agents
• LangChain
• CrewAI
• AutoGen
• Hugging Face
• Other Agentic AI frameworks

Experience building:

• Agentic AI workflows
• AI Assistants
• RAG applications
• Enterprise chatbot solutions
• Multi-agent systems

Model Context Protocol (MCP)

Good understanding of:

• MCP architecture
• MCP servers and clients
• Tool integration
• Secure communication between AI agents and enterprise applications
• Decoupled AI system design

AWS Cloud

Experience with:

• Amazon Bedrock
• AWS Lambda
• Amazon ECS
• Amazon EKS
• AWS Step Functions
• Amazon OpenSearch
• Amazon DynamoDB
• Containerized deployments

Exposure to AWS AgentCore or AWS Transform is a plus.

Databases

Experience with:

• PostgreSQL
• DynamoDB
• OpenSearch
• Elasticsearch

DevOps & Deployment

• Docker and containerization
• CI/CD pipelines
• Production deployment
• Source control (Git)
• Automated testing
• Release management
• Production monitoring

Preferred Qualifications

• Experience integrating Python-based AI solutions with .NET or Java applications.
• Experience deploying AI solutions into enterprise production environments.
• Strong understanding of software architecture and backend engineering best practices.
• Experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, or Visual Studio Code.
• Excellent analytical, problem-solving, and communication skills.

What We’re Looking For

We’re seeking a software engineer—not a traditional data scientist or prompt engineer. The ideal candidate will have a strong software development foundation and hands-on experience building production-ready AI applications.

Candidates with backgrounds such as the following are encouraged to apply:

• Python Developer
• Backend Software Engineer
• Full Stack Developer (Backend-focused)
• AI Application Engineer
• GenAI Engineer
• Java Developer with strong Python experience
• .NET Developer with strong Python experience
• Software Engineer with Agentic AI experience

Pay: ₹1,000,000.00 - ₹1,800,000.00 per year

Work Location: In person