Verisk India – GenAI / Agentic AI Team Overview The team is looking for a strong software engineer with extensive Python development experience and hands-on exposure to GenAI and Agentic AI.
This should not be a traditional:
- Data Analyst
- Hadoop specialist
- Big Data-focused candidate
- Prompt-only AI professional
The ideal background could include:
- Python Developer
- Backend Engineer
- Full-Stack Developer with strong backend experience
- Data Engineer with advanced software-development capabilities
- .NET or Java Developer who has developed strong Python expertise
The individual must be capable of writing production-quality code and integrating AI capabilities into existing enterprise applications.
Core Technical Requirements
Python / Backend Development
Strong hands-on experience with:
- Python
- FastAPI
- Django or Flask
- RESTful API development
- Backend services
- Lambda functions
- Batch-processing functions
- Business-logic development
- Unit testing
- Debugging and troubleshooting
FastAPI experience is particularly valuable.
GenAI / Agentic AI
Candidates should understand how to design, develop and deploy Agentic AI solutions.
Relevant technologies may include
- AWS Strands Agents
- LangGraph
- LangChain
- Hugging Face
- AutoGen
- CrewAI
- Comparable Agentic AI frameworks
AWS Strands and LangGraph would be especially valuable, although AWS Strands is still relatively new in the market.
Model Context Protocol (MCP)
Strong knowledge of Model Context Protocol (MCP) is an important requirement.
The team wants the core enterprise application and the AI assistant, RAG solution or agentic chatbot to remain decoupled, with MCP supporting communication and integration between these components.
Candidates should understand
- MCP architecture
- MCP servers and clients
- Tool integration
- Secure communication between applications and AI agents
- Decoupling AI services from core business applications
AWS Environment The majority of the organization’s applications are deployed in AWS.
Candidates should have practical experience with technologies such as:
Candidates do not need to be experts in every technology, but experience integrating Python and AI capabilities with .NET or Java applications would be valuable.
Deployment & DevOps
Candidates must have experience taking solutions beyond a sandbox or proof-of-concept environment and deploying them into production.
Desired experience includes
- Containerization
- Production deployment of AI agents
- CI/CD pipelines
- Bamboo
- Automated testing
- Source-control management
- Release management
- Production monitoring
- Scrum / Agile delivery environments
The team typically works in two-week Scrum sprints.
AI-Assisted Development Tools The development workplace may include:
- GitHub Copilot
- Cursor
- Claude Code
- Visual Studio Code
- Other approved AI-assisted engineering tools
Experience with specification-driven development or similar structured AI-assisted development practices would also be beneficial.
Pay: ₹2,500,000.00 - ₹3,000,000.00 per year
Experience
- Gen AI: 2 years (Preferred)
- Python: 2 years (Preferred)
- .NET: 2 years (Preferred)
- Java: 2 years (Preferred)