Lead AI 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 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, 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 reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026.

About Position:

We are seeking a Lead AI Engineer with deep expertise in LLMs, NLP, RAG pipelines, and multi-agent systems to design and deliver next-generation AI solutions. This role involves leading end-to-end AI system development, driving architectural decisions, and mentoring teams to build scalable, production-grade intelligent applications.

• 
  Role: Lead AI Engineer
• Location: Bengaluru
• Experience: 12 to 15 years
• Job Type: Full-Time Employment

What You'll Do:

• Lead end-to-end development of ML/NLP solutions from ideation to production
• Design feature engineering, model training, and evaluation pipelines
• Drive best practices in model performance, explainability, and monitoring
• Build and deploy applications leveraging Large Language Models (LLMs)
• Design prompt engineering strategies, fine-tuning workflows, and evaluation pipelines
• Integrate LLMs into business applications with focus on cost, latency, and reliability
• Architect and implement RAG pipelines using embeddings and vector databases
• Optimize retrieval accuracy and generation quality
• Design and develop multi-agent AI systems for complex workflows
• Define agent orchestration, planning, and tool usage strategies
• Build frameworks for agent communication and execution
• Develop scalable AI systems using microservices and cloud-native architectures
• Ensure performance, observability, and cost optimization of AI systems
• Design solutions for real-time and batch inference
• Mentor and guide ML engineers and data scientists
• Conduct design reviews and ensure code quality standards
• Collaborate with product, engineering, and business stakeholders

Expertise You'll Bring:

• 10+ years of experience in software engineering
• 5+ years in Machine Learning and NLP
• 2+ years of experience with LLM-based applications
• 1.5+ years of experience in multi-agent systems
• Strong expertise in NLP techniques including embeddings and transformers
• Experience with ML frameworks such as PyTorch or TensorFlow
• Hands-on experience with LLMs like GPT, Llama, Gemini, or Claude
• Expertise in prompt engineering, fine-tuning, and LLM evaluation
• Strong experience with RAG systems and vector databases (Elastic, OpenSearch, FAISS)
• Knowledge of semantic search and retrieval optimization
• Experience in designing and implementing multi-agent architectures
• Strong programming skills in Python
• Experience with APIs (REST/gRPC), distributed systems, and microservices
• Knowledge of Docker, Kubernetes, and cloud platforms (Azure, AWS, GCP)
• Strong leadership, problem-solving, and decision-making skills
• Experience with MLOps practices including CI/CD, monitoring, and drift detection
• Knowledge of evaluation frameworks for LLMs
• Exposure to knowledge graphs and hybrid search systems
• Contributions to open-source AI projects
• Familiarity with security, governance, and responsible AI practices

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.”