Evaluation Framework Engineer

About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 18 of the Fortune 50 companies, 7 of the 10 top US banks, 9 of the 10 technology companies, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487.6M in Q2 FY27 revenue, up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29,500+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens™ Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.

About Position:

We are seeking a highly skilled Evaluation Framework Engineer to design, develop, and maintain scalable AI evaluation platforms for Large Language Models (LLMs), Agentic AI systems, and Generative AI applications. The ideal candidate will combine strong Python engineering expertise with a quality-focused mindset and practical experience in AI evaluation, automated testing, cloud deployment, and application development.

• Role: Evaluation Framework Engineer
• Location: Pune
• Experience: 6 to 12 years
• Job Type: Full Time Employment

What You'll Do:

• Design and implement AI evaluation frameworks and tooling for model assessment, benchmarking, and automated testing of LLMs, agents, and GenAI features.
• Build production grade Python applications, API’s to support evaluation pipelines and integrations. Collaborate with QA team brainstorm current evaluation challenges and build reproducible evaluation workflows.
• Implement end to end evaluation pipelines including data preprocessing, metric computation, test orchestration, and reporting.
• Ensure code quality and maintain coding standards through static analysis, unit/integration tests, code reviews, and tooling (e.g., SonarQube). Contribute to design and implementation of APIs and services.
• Deploy and operate evaluation components on Azure, leveraging platform services and following infrastructure as code practices. Instrument monitoring, logging, and alerting for evaluation pipelines; capture audit trails and results for compliance and reproducibility.
• Partner with data scientists, ML engineers, and product stakeholders to gather requirements, validate evaluation approaches, and incorporate feedback. Support peers in troubleshooting and resolving issues across development and QA; mentor junior developers and share best practices.

Expertise You'll Bring:

• Python Engineer with 4-6 years of professional experience and exposure to QA practices to join our team focused on development of AI evaluation frameworks.
• The ideal candidate combines hands on Python engineering skills, a QA mindset, and practical familiarity with GenAI/LLM concepts and Azure cloud services.
• You will design, build, and maintain scalable evaluation systems and work closely with QA teams and stakeholders to ensure robust, repeatable assessment of AI components.
• Required qualifications 4 to 6 years of professional Python development experience with strong, demonstrable hands on skills.
• Solid understanding of OOPs concepts, software design principles, and coding best practices. Experience with test driven development, writing unit and integration tests, and collaborating with QA teams on automated testing.
• Familiarity with the full project lifecycle: requirements, design, development, code review, deployment, maintenance, and deprecation.
• Experience building RESTful APIs using FastAPI, Flask, or Django. Practical experience with Azure cloud services and deployment patterns (App Services, AKS, Azure Functions, Blob/Storage, DevOps pipelines).
• Exposure to CI/CD tooling and code quality tools such as SonarQube Working knowledge of AI/DS concepts-particularly GenAI, LLMs, RAG patterns, and agent architectures. Strong problem solving, debugging skills, and ability to work across distributed systems.
• Excellent communication skills and demonstrated ability to work closely with QA, data science, and product teams.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let’s unleash your full potential at Persistent -persistent.com/careers

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”