Description

Job Summary:

As an Artificial Intelligence (AI) Engineer at Medefy Health, you will work with the Data Science team to design, develop, and deploy intelligent systems using cutting-edge machine learning technologies. This role combines strong software engineering fundamentals with expertise in AI/ML model development, with a focus on building and deploying AI agents and LLM-powered applications. You'll work on production-scale systems that directly impact on our customers and business outcomes.

About

About our awesome company, Medefy Health...

Medefy Health (www.Medefy.com) is a leading SaaS benefits navigation company, dedicated to simplifying the way employees’ access and utilize their benefits. Our mission is to drive better health and financial outcomes for our users while supporting HR teams and broker partners with seamless, data-driven solutions.

Our company is headquartered in Tulsa, OK. We’re proud to be Oklahoma’s #1 fastest-growing company and rated by Inc. Magazine as the 37th fastest-growing tech company and the 288th fastest-growing company overall in the USA, and our story is still being written!

Healthcare is only getting more complicated, and more expensive, for employers and their employees. This is where Medefy Health comes in. We’re on a mission to eliminate the stress on hard-working families caused by an impossible to navigate healthcare system. All while saving them, and their employers, a significant amount of time and money. We demolish barriers between healthcare and the people who need it, and we need your help to further our mission!

Job Duties & Responsibilities

Core Engineering:
- Design and implement machine learning models and AI systems from conception to production deployment
- Build and optimize AI agents that can operate autonomously, perform reasoning, and make intelligent decisions
- Develop and maintain scalable ML pipelines, data processing workflows, and model serving infrastructure
- Integrate AI capabilities into existing applications and services through APIs and microservices
LLM and AI Agent Development:
- Deploy Large Language Models for specific business applications
- Design and implement AI agents using frameworks (like LangChain) or other/custom architecture
- Implement prompt engineering, retrieval-augmented generation (RAG), and agentic workflows
- Optimize agent behavior through feedback loops, reinforcement learning, user interaction, and fine-tuning
Production Systems:
- Deploy ML models to production environments using containerization (Docker, Kubernetes) and cloud platforms (Azure)
- Monitor model performance, implement A/B testing, and maintain model lifecycle management
- Collaborate with DevOps teams to ensure robust, scalable, and reliable AI system deployments
- Implement safety mechanisms, guardrails, and ethical AI practices
Collaboration and Leadership:
- Work closely with data scientists, product managers, and engineering teams to translate business requirements into technical solutions
- Document technical decisions, model architecture, and system designs and communicate to non-technical audiences
- Stay current with latest AI/ML research and apply cutting-edge techniques to solve business problems
Performs other duties as assigned

Qualifications

You must have at least the following:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
2+ years of experience in software engineering with focus on AI/ML applications
Experience with production ML systems and model deployment
Programming:
- Proficient in Python with experience in libraries like TensorFlow, PyTorch, scikit-learn, pandas, numpy and LLM APIs (OpenAI, Anthropic, etc.)
Machine Learning:
- Strong understanding of ML models and evaluation techniques, and experience with vector databases, embeddings, and similarity search
AI Frameworks:
- Hands-on experience with LangChain or similar LLM frameworks, with emphasis on testing frameworks like Promptfoo
AI Agent Development:
- Experience building autonomous agents, multi-agent systems, or conversational AI
Data Engineering:
- Experience with data processing, ETL pipelines, and working with large datasets
Cloud Platforms:
- Proficiency with AWS, GCP, or Azure for ML model deployment and scaling
Software Engineering:
- Strong knowledge of software development lifecycle, version control (Git), and software engineering best practices
Preferred Qualifications
- Knowledge of MLOps practices including model monitoring, versioning, and automated deployment
- Contributions to open-source AI projects or research publications
- Experience with distributed computing and parallel processing
- Background in specific domains like NLP, computer vision, or reinforcement learning

It Would Be Great If You Have

Master’s degree in Computer Science, Engineering, Mathematics, or related field
2+ years’ experience in any of the following areas: health insurance, employee benefits, insurance brokerage, HR, telemedicine, general healthcare, or SaaS companies

Supervisory Duties: No supervisory duties

Travel Requirements Percentage: 0% travel

Physical And Mental Requirements

Remote Work Environment : This position is performed remotely in a home-office setting. The employee must ensure a quiet, private workspace free from distractions and suitable for video conferencing and focused work. A reliable high-speed internet connection is required.

Physical Demands

Prolonged periods of sitting at a desk and working on a computer (up to 8+ hours per day).
Frequent use of a computer keyboard, mouse, and screen; ability to type at least 55 WPM.
Occasional movement within the home office environment (e.g., retrieving office supplies or documents).
Vision abilities required include close vision for computer use and reading documentation, with or without corrective lenses.
Occasional light lifting of materials (up to 15 lbs), such as a laptop or office equipment, may be required.

Communication Requirements

Must be able to communicate effectively in English using written and verbal channels (email, chat, video conferencing, phone).
Must be able to read and interpret complex written information such as healthcare documentation, performance reports, and company procedures.
Must be responsive and present during scheduled working hours and team communications, including virtual meetings and collaboration platforms.

Cognitive And Emotional Demands

Ability to manage multiple complex tasks and competing priorities in a high-paced environment.
Strong critical thinking and decision-making skills with attention to detail.
Ability to exercise independent judgment and problem-solving under time constraints.
Must be able to adapt quickly to changing workflows, operational needs, and team dynamics.
Must maintain a high level of confidentiality and discretion in handling sensitive information.
Requires emotional resilience, especially when assisting users in distress or resolving escalated member concerns.
Must be able to maintain composure and a professional demeanor under pressure.

Work Schedule & Attendance

Must be punctual, dependable, with potential for on-call duties as needed.
Must maintain regular attendance and meet performance expectations without direct on-site supervision.
Job description is not a comprehensive listing of all the activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

Medefy Health

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