Jobs›Genai, Hyderabad

GenAI / Agentic AI Engineer

Fullestop / Gempulse Infotech Pvt. Ltd. · Hyderabad
Pay₹25L–30La year, as listed
WhereHyderabadTelangana
TypeContract
Posted23 Oct17 days ago, via SimplyHired
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Skills they list43 named
Function as a service (FaaS)Software issue identificationContainerisation systemsTechnical troubleshootingElasticsearchSystems integrationSoftware engineeringQA test automation developmentAtlassian BambooRESTful APITroubleshooting data issuesC#IT system monitoringAmazon ECSSystem designApplication deploymentAI platforms (beyond public GPTs).NETEnterprise software systems developmentJavaSQLSystem design for system developmentBatch processing implementationApplication designVersion control systemsAngularDjangoAgile software developmentSystem deploymentDatabase triggersBack-end integrationServerless computingDynamoDBDevOps automationFlaskBatch data processingPythonAmazon EKSCertified Entry-level Python Programmer (PCEP)DebuggingDeveloping commercial use systemsAWS LambdaRESTful services integration
About this job

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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