AI Engineer, India, 2-3 years
Responsibilities• Design, build, and optimize agentic AI systems leveraging LLMs, multi-agent frameworks, tool‑use orchestration, retrieval systems, and autonomous workflows to solve complex real‑world problems.
• Develop scalable ML pipelines and infrastructure including data processing, feature engineering, model training/evaluation and deployment using modern ML-Ops practices (Docker, Kubernetes, CI/CD, observability).
• Integrate agents with enterprise tools and APIs enabling autonomous planning, reasoning, and execution chains across cloud platforms, internal systems, and third‑party services.
• Collaborate cross‑functionally with product, engineering, and domain SMEs to design end‑to‑end intelligent workflows, ensure reliability/safety, and translate business needs into production‑grade agentic solutions.
Qualifications• Minimum 2 year(s) of hands-on experience with Python (comfortable with PyTorch/TensorFlow)
• Minimum 1 year(s) of experience with LangChain/LlamaIndex
• Minimum 1 year(s) of experience with RAG pipelines and vector databases
• Practical exposure to agentic/LLM systems such as tool‑calling, autonomous task execution, workflow orchestration, reasoning chains, prompt engineering, and integrating models with APIs or enterprise systems.
• Strong MLOps & engineering discipline including experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), CI/CD, data pipelines, and deploying ML systems into production environments.
• Problem‑solving mindset and cross‑functional communication skills with the ability to translate business requirements into intelligent workflows, run experiments, and iterate quickly in a fast-paced AI environment.
Skills Required
- Minimum 2 years hands-on experience with Python (comfortable with PyTorch/TensorFlow)
- Minimum 1 year experience with LangChain and/or LlamaIndex
- Minimum 1 year experience with RAG pipelines and vector databases
- Practical exposure to agentic/LLM systems: tool-calling, autonomous task execution, workflow orchestration, reasoning chains, prompt engineering
- Experience with MLOps and engineering practices: cloud platforms (Azure/AWS/GCP), containerization (Docker), CI/CD, data pipelines, deployment to production
- Strong problem-solving mindset and cross-functional communication skills
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
