You will build and test AI agents and workflows that support human experts rather than replace their judgment. This is a hands-on role. You will prototype quickly, learn from experienced colleagues, and grow into owning larger parts of our solutions.
ResponsibilitiesBuild and test AI applications that use large language models (LLMs), prompt design, and retrieval-based approaches.
Write clean, well-documented Python code for AI workflows, including connections to other systems through APIs.
Help build AI agents and multi-step workflows that use tools and follow decision paths.
Test model outputs for accuracy, consistency, and clarity, and report issues with clear notes.
Prepare and work with healthcare data such as policies, claims, and clinical content for AI use.
Handle sensitive health data (personal and health information) carefully, following company and client privacy rules.
Work with product owners, clinical experts, and senior engineers to turn business needs into working solutions.
Document experiments, designs, and results so others can reuse them.
Share progress and blockers with your manager on a regular basis.
Keep learning about new AI tools and methods.
Education
Bachelor’s degree in engineering, computer science, data science, AI, or a related technical field.
Experience and Skills
Good Python skills.
Basic understanding of machine learning and how large language models work.
Hands-on AI project experience (work, internship, academic, or personal) that you can show through code or a demo.
Familiarity with at least one LLM tool or framework, such as LangChain, LlamaIndex, or the OpenAI or Azure OpenAI APIs.
Comfort using Git and working in a Linux environment.
Clear written and spoken communication.
Preferred Qualifications
Experience with AI agent frameworks and workflow tools.
Experience with a cloud platform (Azure, AWS, or Google Cloud).
Basic SQL and data handling skills.
Exposure to healthcare data or U.S. health plan operations (preferred, not required).
Familiarity with healthcare data standards such as FHIR.
Internship or project work building or testing LLM-based applications.
What Success Looks Like
You deliver working prototypes within your first few months.
Your code is reliable and well documented.
You can explain your results to non-technical teammates.
You take on larger pieces of work as you grow.
Skills Required
- Bachelor's degree in engineering, computer science, data science, AI, or a related technical field
- Good Python skills
- Basic understanding of machine learning and large language models
- Hands-on AI project experience through work, internship, academic, or personal projects
- Familiarity with at least one LLM tool or framework, such as LangChain, LlamaIndex, OpenAI API, or Azure OpenAI API
- Comfort using Git and working in a Linux environment
- Clear written and spoken communication
- Experience with AI agent frameworks and workflow tools
- Experience with Azure, AWS, or Google Cloud
- Basic SQL and data handling skills
- Exposure to healthcare data or U.S. health plan operations
- Familiarity with healthcare data standards such as FHIR
- Internship or project work building or testing LLM-based applications
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.
