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AI Engineer

Remote, United States remote Entry $90,281 - $119,171
remote Technology & IT Salary listed Curated
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About the role

At WelbeHealth, we serve our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. These core values and our participant-focus lead the way no matter what.
The AI Engineer I is responsible for supporting the design, development, testing, and implementation of AI-powered solutions that address operational and participant care challenges within the PACE (Program of All-Inclusive Care for the Elderly) program. Working under the guidance of senior engineers, the role assists with developing and maintaining enterprise AI models, retrieval-augmented generation (RAG) systems, and agentic workflows. The AI Engineer I collaborates effectively with colleagues and stakeholders to promote WelbeHealth values, team culture and mission.
This role is different because the AI Engineer I at WelbeHealth:

Helps build innovative AI-powered solutions that improve participant care and operational efficiency by developing enterprise applications using large language models (LLMs), retrieval-augmented generation (RAG), and emerging agentic AI technologies in a mission-driven healthcare environment.

Works alongside experienced AI engineers and architects to rapidly prototype, test, and deploy modern AI solutions while gaining hands-on experience with cloud platforms, enterprise AI frameworks, and responsible AI practices that directly support the future of healthcare delivery.

That’s why we offer:

Medical insurance coverage (Medical, Dental, Vision)

Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days

401K savings + match

Comprehensive compensation package including base pay and bonus

And additional benefits!

On the day-to-day, you will:
AI Application Support & Development
Assist in building and testing AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini) under the guidance of senior engineers. Help translate PACE program business requirements into early-stage AI prototypes and proofs of concept. Support prompt engineering, structured output handling, and basic function/tool calling integrations.
RAG Pipeline Support
Contribute to the development and testing of retrieval-augmented generation (RAG) systems that ground AI responses in WelbeHealth’s proprietary data. Assist with vector database setup, embedding strategies, and chunking optimization under senior direction. Help evaluate retrieval quality and document findings.
Prototyping & Learning
Participate in rapid POC development cycles, contributing code, documentation, and iterative improvements. Assist in validation and QA testing of new AI use cases. Actively seek feedback, ask questions, and apply learnings to improve output quality
Cloud & Infrastructure Basics
Support cloud-based deployments in Azure environments with guidance on Docker, private endpoints, and secure configurations. Learn and follow best practices for AI/ML operations, including monitoring, versioning, and CI/CD pipelines. Assist in maintaining documentation for AI services and infrastructure
Technology Awareness
Stay curious about emerging AI tools, model releases, and techniques. Share relevant findings with the team and help evaluate new approaches that could benefit participants and operations. Participate in team demos, retrospectives, and knowledge-sharing sessions
Job requirements include:

Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related field required; relevant coursework or bootcamp training is a plus

Coursework or self-directed study in machine learning, natural language processing, or AI application development is a plus

Relevant certifications (e.g., Azure AI Fundamentals, AWS Cloud Practitioner, Google ML) are a plus; Working proficiency in Python, including the ability to write and debug scripts, interact with APIs, and work with common data structures

Foundational understanding of artificial intelligence and machine learning concepts, including embeddings, vector search, prompt engineering, and retrieval techniques

Exposure to large language model (LLM) platforms and APIs such as OpenAI, Anthropic, or Google Gemini through academic projects, internships, personal projects, or professional experience

Exposure to cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) preferred; Familiarity with retrieval-augmented generation (RAG) concepts and vector database such as Pinecone, Weaviate, Chroma, or similar tools preferred

Exposure to AI orchestration or agentic frameworks such as LangChain, LangGraph, or similar technologies preferred; Experience using version control tools such as Git and familiarity with basic CI/CD concepts and development workflows preferred; Basic understanding of healthcare data privacy and security requirements, including HIPAA and protected health information (PHI) handling practices preferred

We are seeking an AI Engineer I who is passionate about applying artificial intelligence to solve meaningful healthcare challenges. The ideal candidate is eager to learn, enjoys experimenting with emerging AI technologies, and has a strong foundation in Python, cloud technologies, and modern AI concepts such as large language models, prompt engineering, and retrieval-augmented generation. If you're looking for an opportunity to grow your AI engineering career while building innovative solutions that improve the lives of vulnerable seniors, we'd love to hear from you!

Compensation consists of base salary plus bonus. WelbeHealth offers a competitive total rewards package that includes a 401(k) match, comprehensive healthcare coverage, and a broad range of additional benefits. Actual compensation will be determined based on experience and relevant qualifications.

Compensation Offering

$90,281.44—$119,171.49 USD

COVID-19 Vaccination Policy

At WelbeHealth, our mission is to unlock the full potential of our vulnerable seniors. In this spirit, please note that we have a vaccination policy for all our employees and proof of vaccination, or a vaccine declination form will be required prior to employment. WelbeHealth maintains required infection control and PPE standards and has requirements relevant to all team members regarding vaccinations.

Our Commitment to Diversity, Equity and Inclusion

At WelbeHealth, we embrace and cherish the diversity of our team members, and we're committed to building a culture of inclusion and belonging. We're proud to be an equal opportunity employer. People seeking employment at WelbeHealth are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), pregnancy or other status protected by applicable law.

Beware of Scams

Please ensure your application is being submitted through a WelbeHealth sponsored site only. Our emails will come from @welbehealth.com email addresses. You will never be asked to purchase your own employment equipment. You can report suspected scam activity to

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Figma MySQL Operations Python Sales remote

Likely questions

  1. Tell us about work you have done that is close to the AI Engineer role.
  2. How would you approach your first 30 days at name?
  3. Which of Figma, MySQL and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Figma, MySQL and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the AI Engineer role because I can bring practical experience in Figma, MySQL and Operations, learn the team quickly, and contribute to the outcomes name needs from this hire.

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