- Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks.
- Architect and optimize scalable APIs (REST/WebSocket) for production deployment.
- Develop, fine-tune, and integrate large language models into enterprise applications.
- Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.
- Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB.
- Implement graph databases (Neo4j) for knowledge graph-based use cases.
- Provide technical leadership and mentorship to engineering teams.
- Collaborate with cross-functional stakeholders to identify and deliver GenAI solutions across multiple business domains.
- Ensure robustness, security, and compliance of deployed AI systems.
- Stay current with trends in GenAI, deep learning, and orchestration frameworks.
- Document and present technical solutions to both technical and non-technical audiences.
Familiarity with LangGraph, AutoGen, LangChain, or similar agentic AI frameworks. - Experience with multi-agent systems and orchestration of intelligent workflows.
- Knowledge of MLOps practices (CI/CD, model monitoring, retraining pipelines).
- Strong problem-solving skills and ability to thrive in fast-paced R&D environments.
- Contributions to open-source AI/ML projects or published research in generative AI.
Coordinate team tasks, assist in project management, handle customer inquiries, and prepare reports.
Qualifications- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, AI/ML, or related field.
- 4+ years of total professional experience in AI/ML, Data Science, or related fields.
- 3+ years of hands-on experience in Python with strong software engineering practices.
- At least 3 years of experience in AI/ML engineering, including 2+ years of hands-on experience in Generative AI /Agentic AI.
- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow).
- Expertise in large language models (LLMs), prompt engineering, and fine-tuning.
- Proven track record of deploying at least 3 GenAI/Agentic AI projects into production.
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling.
- Practical knowledge of SQL, No-SQL, vector databases, and graph databases.
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, AI/ML, or a related field
- 4+ years of total professional experience in AI/ML, Data Science, or related fields
- 3+ years of hands-on experience with Python and strong software engineering practices
- At least 3 years of experience in AI/ML engineering
- At least 2 years of hands-on experience in Generative AI or Agentic AI
- Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow
- Expertise in large language models, prompt engineering, and fine-tuning
- Proven track record of deploying at least 3 GenAI or Agentic AI projects into production
- Strong background in Data Science or Data Engineering, including data pipelines, ETL, and data modeling
- Practical knowledge of SQL, NoSQL, vector databases, and graph databases
- Familiarity with LangGraph, AutoGen, LangChain, or similar agentic AI frameworks
- Experience with multi-agent systems and orchestration of intelligent workflows
- Knowledge of MLOps practices, including CI/CD, model monitoring, and retraining pipelines
- Strong problem-solving skills and ability to work in fast-paced R&D environments
- Contributions to open-source AI/ML projects or published research in generative AI
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.
