Junior AI Engineer

EXL

. Build and test AI applications using large language models (LLMs), prompt design, and retrieval-based approaches .

Posted 10/15/2026full-timeRemote • United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and testing AI applications using large language models, with strong Python programming skills and experience in handling healthcare data. Proficient in collaborating with cross-functional teams to develop effective AI solutions while adhering to privacy regulations.

Highest-signal resume keywords

Python ProgrammingLarge Language ModelsAI Project ExperienceHealthcare Data HandlingCloud Platform Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonMachine LearningSQLAI WorkflowsData Handling

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

LangChainLlamaIndexOpenAI APIAzure OpenAI APIGitLinux

Industry Keywords

Healthcare DataFHIRU.S. Health Plan Operations

Tech Stack

Tools & technologies

AWSAzureCloudLinuxPythonSQL

About the role

Key responsibilities & impact

Build and test AI applications using large language models (LLMs), prompt design, and retrieval-based approaches
Write clean, well-documented Python code for AI workflows, including API connections to other systems
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, including policies, claims, and clinical content, for AI use
Handle sensitive personal and health information according to company and client privacy rules
Collaborate with product owners, clinical experts, and senior engineers to turn business needs into working solutions
Document experiments, designs, and results for reuse
Share progress and blockers with the manager regularly
Keep learning about new AI tools and methods

Requirements

What you’ll need

Bachelor’s degree in engineering, computer science, data science, AI, or a related technical field
Good Python skills
Basic understanding of machine learning and how large language models work
Hands-on AI project experience (work, internship, academic, or personal), demonstrable 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
Experience with AI agent frameworks and workflow tools preferred
Experience with a cloud platform (Azure, AWS, or Google Cloud) preferred
Basic SQL and data handling skills preferred
Exposure to healthcare data or U.S. health plan operations preferred, not required
Familiarity with healthcare data standards such as FHIR preferred
Internship or project work building or testing LLM-based applications preferred

Benefits

Comp & perks

Work From Home / remote work arrangement
Opportunity to learn about new AI tools and methods
Hands-on project experience and growth into owning larger parts of solutions