We are seeking a talented and driven GenAI Engineer with 3–6 years of experience to join our dynamic team. In this role, you will leverage your analytical skills, machine learning expertise, and Generative AI capabilities to manage Gen AI pipelines / workflows, extract insights from unstructured datasets, build intelligent AI solutions, and contribute to the development of innovative, scalable systems that enhance our products and services.
Responsibilities- Manage GenAI models production pipelines to debug defects and provide root cause assessments.
- Build and orchestrate LLM‑based workflows using frameworks such as LangChain, including prompt engineering and pipeline design.
- Implement Retrieval‑Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone for semantic search and contextual retrieval.
- Work with document ingestion and extraction workflows, including processing unstructured documents (PDFs, scans, forms) using tools like AWS Extract and GenAI‑based extraction techniques.
- Collaborate with cross‑functional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria.
- Communicate findings and insights effectively to both technical and non‑technical audiences through visualizations, reports, and presentations.
- Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics.
- Mentor junior team members and contribute to a culture of continuous learning and technical excellence.
- Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field.
- 3–6 years of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects.
- Hands‑on experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
- Practical experience with LLMs, GenAI frameworks, LangChain, and prompt‑driven workflows.
- Strong understanding of RAG patterns, vector embeddings, and vector databases such as Pinecone.
- Candidates with Knowledge of Agentic AI will be preferred
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field
- 3-6 years of experience in data science, applied machine learning, or generative AI
- Strong portfolio of relevant projects
- Hands-on experience with scikit-learn, TensorFlow, and PyTorch
- Practical experience with LLMs, generative AI frameworks, LangChain, and prompt-driven workflows
- Strong understanding of RAG patterns, vector embeddings, and vector databases such as Pinecone
- Knowledge of Agentic AI
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
