GenAI / Agentic AI Engineer
Experience- 4-5 Years
Location- Hyderabad, Telangana
Shift- US Timings (Night Shift)
Job Type- Contractual (1 Year) Can be extended
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
Amazon Bedrock
AWS Lambda
Amazon ECS
Amazon EKS
AWS Step Functions
Amazon OpenSearch
Amazon DynamoDB
AWS container services
AWS production and deployment environments
Exposure to AWS AgentCore and AWS Transform would be beneficial.
The team primarily uses models available through Amazon Bedrock rather than relying exclusively on externally hosted public models.
Databases & Search Technologies
Candidates should be comfortable working with both relational and non-relational databases, including
PostgreSQL
DynamoDB
OpenSearch
Elasticsearch
They should be able to
Write queries
Develop triggers
Integrate databases with backend applications
Troubleshoot data-related issues
Existing Application Environment
Many of Verisk’s existing enterprise applications are built using
.NET / C#
Java
API-based architectures
Angular front ends
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 environment 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)
- Work Location
- In person
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