- 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.
- Build 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.
Job description provided by EXL Service.
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