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VOLO Health

Predictive health scores platform for longevity

AI Engineer

AI Application EngineeringUpdated on Nov 12
Full-timeJupiter, FL, USA

About the Job

Requirements

  • Strong experience with SQL databases, including PostgreSQL and MySQL, and familiarity with NoSQL databases, including MongoDB, DynamoDB, and Redis.
  • Hands-on LLM integration experience, including prompt engineering and context management.
  • Ability to detect and mitigate LLM hallucinations.
  • Experience with retrieval-augmented generation (RAG) pipelines, embeddings, chunking, and vector databases.
  • Awareness of LLM security risks and mitigation strategies.
  • Experience working with users to understand needs and iterate on solutions.
  • Project management skills, including experience using Jira to manage backlogs, track delivery, and coordinate dependencies.
  • Experience working in Agile/Scrum teams.
  • Ability to build stakeholder trust and translate between technical and business audiences, communicating priorities, status, risks, and trade-offs clearly.
  • Strong problem-solving orientation, prioritizing outcomes and empathy over process.
  • A four-year college degree or higher in Computer Science or a related field.
  • Three to five years of software engineering experience with production LLM experience.
  • Ability to work onsite in the Jupiter, Florida office.

Responsibilities

  • Embed with internal users to understand workflows, identify pain points, and deliver AI-powered solutions that solve real problems.
  • Engineer prompts, context, and system architecture for LLMs, balancing technical rigor with practical user needs.
  • Build validation pipelines and evaluation benchmarks for LLM outputs, ensuring correctness, safety, and alignment with user expectations.
  • Build and maintain RAG pipelines and LLM-powered data workflows.
  • Translate user feedback and field insights into product direction, influencing what gets built based on real-world needs.
  • Build trust across engineering, product, and business teams, and mentor others on AI technologies and best practices.
  • Manage AI solution delivery using Jira to organize work, track milestones and dependencies, and communicate progress, risks, and blockers.
  • Collaborate in Agile/Scrum planning, backlog refinement, and retrospectives; keep stakeholders aligned on priorities, scope, timelines, and delivery expectations.
  • Identify edge cases, diagnose failure modes, and shape how AI systems learn and improve over time.
  • Design reliable LLM integrations, including error handling, retries, circuit breakers, and monitoring for hallucinations and quality drift.
  • Optimize LLM API costs through caching, batching, and model selection.
  • Implement security controls against prompt injection and LLM attack vectors.

Desired Qualifications

  • Experience building agentic AI systems with tool use, multi-step reasoning, and safety constraints.
  • Five or more years of Python development experience.
  • Familiarity with financial data and HIPAA.
  • Understanding of LLM evaluation, including metrics, benchmarks, and non-deterministic testing.

About the Company

VOLO Health

Predictive health scores platform for longevity

VOLO Health uses quantitative modeling to turn diverse health data into predictive, personalized VOLO Scores that forecast 10 to 15 years of disease risk. By applying financial-market-style analytics from its sister hedge fund Voloridge Investment Management to data such as lab results, medical records, and wearables, it provides insights for proactive health decisions for individuals and clinicians. The platform also acts as an ecosystem builder and investor, offering AI-as-a-Service and Prevention-as-a-Service to corporations and health platforms, and backing health-tech innovations like AI-powered coaching. Unlike many healthcare tools, VOLO Health combines rigorous quantitative methods with long-horizon risk forecasting to unify data sources and guide long-term health planning. Its goal is to shift the industry from reactive treatment to proactive management, aiming to improve healthspan and longevity.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2023

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