Senior Python AI Engineer – Generative AI & LLM Solutions

About Persistent

Persistent is an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner. They combine deep technical expertise and industry experience to help clients anticipate what's next, creating unique competitive advantages through their offerings and proven solutions. They work with many industry-leading organizations globally, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

With a disruptor's mindset, commitment to client success, and agility, Persistent has sustained growth momentum. They reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth and delivered 24 sequential quarters of growth. Their 27,500+ global team members, located in 18 countries, have been instrumental in transforming industries. Persistent has been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report and a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026.

About the Role

Persistent is seeking a highly skilled Senior Python AI Engineer with expertise in Generative AI, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI-powered applications, intelligent agents, and scalable GenAI solutions.

Role: Senior Python AI Engineer – Generative AI & LLM Solutions Job Type: Full-Time Employment

Responsibilities

• Design, develop, and deploy AI-powered applications using Python and modern Generative AI frameworks.
• Build and implement Retrieval-Augmented Generation (RAG) solutions utilizing enterprise knowledge repositories and vector databases.
• Develop Agentic AI workflows and multi-agent systems using LangChain and LangGraph.
• Design, optimize, and evaluate prompts for Large Language Model-based applications.
• Integrate enterprise applications with LLM providers such as OpenAI, Azure OpenAI, Claude, Gemini, and other AI platforms.
• Build scalable APIs and microservices using FastAPI and REST-based architectures.
• Develop conversational AI assistants, copilots, chatbots, and intelligent automation solutions.
• Work with embedding models, vector stores, semantic search, and retrieval pipelines.
• Implement AI governance, security, and responsible AI best practices.
• Optimize model performance, latency, cost, and response quality for production environments.
• Collaborate with product owners, architects, data scientists, and engineering teams to deliver AI-driven solutions.
• Conduct testing, debugging, monitoring, and troubleshooting of AI applications.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Create technical documentation, implementation guides, and deployment procedures.
• Stay updated with emerging advancements in Generative AI, LLMs, agent frameworks, and AI engineering best practices.

Requirements

• 6–8 years of software development experience with strong proficiency in Python.
• Strong hands-on experience in Generative AI application development.
• Expertise in Prompt Engineering and prompt optimization techniques.
• Strong development experience with LangChain and LangGraph.
• Experience building enterprise-grade RAG (Retrieval-Augmented Generation) solutions.
• Hands-on experience with Large Language Models (LLMs) and AI Agent architectures.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, or similar models.
• Strong knowledge of vector databases, embeddings, semantic search, and retrieval systems.
• Experience designing and developing REST APIs using FastAPI.
• Understanding of microservices architecture and scalable backend development.
• Experience working with structured and unstructured data sources for AI applications.
• Knowledge of model evaluation, prompt testing, and AI performance optimization.
• Familiarity with cloud environments such as Azure, AWS, or Google Cloud Platform.
• Strong analytical, problem-solving, and debugging skills.
• Experience working in Agile/Scrum environments.
• Excellent communication and collaboration skills.

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.

Work Environment

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

They support hybrid work and flexible hours to fit diverse lifestyles. Their 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 them during the application process or at any time during your employment.

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