AI/ML 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 Q4 FY26 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 looking for an experienced AI/ML Engineer to design, build, and deploy scalable Artificial Intelligence, Generative AI, and Agentic AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), Vector Databases, and Azure AI services.

• Role: AI/ML Engineer
• Location: All Persistent Locations
• Experience: Between 7 to 14 Years
• Job Type: Full Time Employment

What You'll Do:

• Design, develop, and deploy AI/ML, Generative AI, and LLM-based applications using Python and modern AI frameworks.
• Build Agentic AI solutions using LangChain, AutoGen, CrewAI, and related orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) applications leveraging vector databases and advanced retrieval techniques.
• Design and implement scalable AI services and APIs using FastAPI, Pydantic, and asynchronous Python.
• Build and optimize machine learning models using PyTorch, Scikit-learn, Pandas, and NumPy.
• Integrate AI solutions with Azure AI Services and cloud-native environments.
• Develop prompt engineering strategies to improve LLM performance, accuracy, and user experience.
• Collaborate with data scientists, architects, product teams, and business stakeholders to deliver innovative AI solutions.
• Implement model monitoring, evaluation, testing, and performance optimization processes.
• Utilize GitLab-based development workflows and contribute to CI/CD implementation for AI applications.
• Support deployment and operationalization of AI solutions using Docker, Kubernetes, and MLOps practices.
• Stay current with emerging AI technologies, frameworks, and industry best practices.

Expertise You'll Bring:

• 7-14 years of experience in software engineering, AI/ML engineering, or data science.
• Strong hands-on expertise in Python, including Pandas, NumPy, PyTorch, and Scikit-learn.
• Proven experience developing and deploying production-grade AI/ML and Generative AI solutions.
• Strong understanding of Large Language Models (LLMs), foundation models, and modern AI architectures.
• Hands-on experience with Agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar technologies.
• Experience designing and implementing RAG solutions using vector databases and retrieval techniques.
• Proficiency in FastAPI, Pydantic, and asynchronous Python programming.
• Hands-on experience with Azure AI Services, Azure OpenAI, and cloud-based AI platforms.
• Experience integrating AI solutions with enterprise applications and business workflows.
• Strong understanding of prompt engineering, model evaluation, and AI performance optimization techniques.
• Experience using GitLab for version control and collaborative development.
• Familiarity with Docker, Kubernetes, MLOps, and AI deployment best practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to mentor team members and contribute to technical leadership initiatives.

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."