Dotnet testing with Jobs

Lead AI Engineer
Verisk —Hyderabad, Telangana
- Full-time
- System design
- Master's degree
- Databases
DevSecOps Engineer – Lead
Amrut Software —Noida, Uttar Pradesh
- Full-time
- DevOps
- Java
- APIs
Software Engineer, Senior ( Python Developer )
Infor —Hyderabad, Telangana
- Full-time
- Hybrid work
- Databases
- AWS
- Bachelor's degree
14d
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Altimetrik Corp —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
Software Development Team Lead ( .Net / Angular )
Infor —Hyderabad, Telangana
- Full-time
- ERP systems
- AWS
- Bachelor's degree
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Orion eSolutions —Mohali, Punjab
- Up to ₹18,00,000 a year
- Azure
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UPS —Chennai, Tamil Nadu
- Full-time
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- Email
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Qualitest —Pune, Maharashtra
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dunnhumby —Gurugram, Haryana
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Quick apply
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Algoworks Solutions —India
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Nagarro —India
- Full-time
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Zensar Technologies —India
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Fabric Group Holdings —India
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Lead AI Engineer

Verisk -
Hyderabad, Telangana

Apply Now

Job details

Full-time

Qualifications

CI/CD
Law
MCP
React
Kubernetes
Full-stack development
Data structures
System design
Git
Master's degree
Databases
AWS
Analysis skills
Docker
Distributed systems
Continuous integration
REST
Software development
APIs
AI
Leadership
Python

Full job description

We are seeking a Lead AI Engineer with strong software engineering foundations and hands-on experience in Generative and Agentic AI. In this role, you will architect, design and build production-grade AI systems powered by large language models and intelligent agents.

You will design scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions.

Architect and Design production-ready applications leveraging Generative AI and agentic AI frameworks.
Build, Deploy and Monitor intelligent workflows using LLMs, multi-agent coordination, and orchestration pipelines.
Integrate new AI applications with traditional pre-existing applications.
Implement prompt engineering strategies, retrieval-augmented generation (RAG), and contextual memory systems.
Implement various AI coding techniques (context-driven, spec-driven development etc.).
Architect and implement AI agents capable of reasoning, planning, and multi-step task execution.
Implement and utilize Model Context Protocol (MCP) patterns to enable structured communication between agents, tools, and systems.
Provide mentoring and technical guidance to developers and other AI Engineers.
Develop evaluation pipelines to measure accuracy, safety, and performance of AI systems.
Optimize latency, cost efficiency, and scalability of AI-powered workflows.
Collaborate with product managers, data teams, and software engineers to deliver AI features.
Ensure reliability through testing, logging, monitoring, and observability of AI behavior.
Own architectural decisions, coding standards, and best practices.
Act as an AI trailblazer for development teams by promoting best practices, reusable patterns, and adopting AI-driven engineering approaches.
Apply AI governance principles to ensure responsible model usage, auditability, and transparency in AI workflows.
Support implementation of governance controls related to data handling, model behavior monitoring, and risk mitigation.
Research emerging AI tools and frameworks to continuously improve system capabilities.
Document AI workflows and maintain reproducible engineering processes.

8+ years of professional software development experience (Dotnet/React/Full-stack) with mentorship/team leadership experience.
Minimum 2 years of hands-on experience building applications using Generative AI or agentic AI systems.
Strong proficiency in Python and backend engineering principles.
Experience designing RESTful APIs and scalable service architectures.
Practical experience with LLM APIs, embeddings, vector search, or RAG pipelines.
Working knowledge of AI governance principles, responsible AI practices, or compliance considerations.
Familiarity with agent frameworks and autonomous decision workflows.
Understanding of data structures, system design, and performance optimization.
Strong analytical thinking and problem-solving skills.

Preferred Qualifications

Experience deploying AI applications in cloud environments (preferably AWS).
Familiarity with vector databases and knowledge retrieval architectures.
Experience working with Git, CI/CD pipelines, and production deployments.
Exposure to containerization and orchestration tools (Docker, Kubernetes).
Experience implementing evaluation or monitoring pipelines for AI agents.
Knowledge of AI safety, guardrails, and responsible AI practices.
Knowledge of distributed systems or event-driven architecture.

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Apply Now

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Lead AI Engineer

DevSecOps Engineer – Lead

Software Engineer, Senior ( Python Developer )

Senior Engineer - Product and Platform Engineering

Software Development Team Lead ( .Net / Angular )

Senior Dot Net Developer

Lead Software Engineer- Full Stack- C#, .Netcore , MVC, Azure Cloud

Senior .NET Engineer

CoE - Digital Engineering - Sr. Dot Net Developer

Lead Engineer- Backend( Media/Adtech)

Lead Engineer - DotNet

Associate Principal Engineer (Dotnet Core)

Software Engineer Senior

Senior Consultant_UX Designer

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