Sr AI Engineer

Reserv • Atlanta, GA

9h • Remote

About The Position

As a Senior AI Scientist at Reserv, you will help drive our AI strategy and technological direction. You will play a crucial role on our technology team, collaborating directly with product and engineering to design, build, and evaluate AI applications that improve the operational efficiency of our business and claim outcomes for our customers. This position is ideal for an engineer with strong applied ML/statistical instincts and deep production engineering experience — someone who can ship a scalable system and also tell you whether the model behind it is actually any good.

Requirements

• 10+ years of hands-on experience designing, building, and deploying production-ready software, including meaningful experience developing AI or ML-driven applications.
• Deep expertise in backend development — API design, data modeling, performance optimization, and security best practices — while keeping the user experience in mind.
• Solid grounding in applied statistics or ML (e.g. model evaluation, experimentation design, regression/classification techniques) sufficient to critique and improve model quality, not just integrate model APIs.
• Strong software engineering foundation with a commitment to delivering high-quality, maintainable, and well-tested code.
• Proven ability to stay current with state-of-the-art techniques through continuous research and application, across both LLM tooling and traditional ML.
• Strong ability to prioritize customer requirements and adapt quickly to evolving project scopes.
• Passionate about creating intuitive technology solutions and a continuous desire to learn and take on new challenges.
• Excellent collaboration and communication skills, comfortable partnering with cross-functional teams to deliver seamless product experiences.

Responsibilities

• Develop and integrate AI applications using our tech stack: Ruby, AWS (including Bedrock, SageMaker), Docker, Datadog, and Postgres.
• Design and run evaluations for LLM-based and predictive systems — offline metrics, online experiments (A/B, shadow deployments), and human-in-the-loop review — to ensure outputs are accurate, reliable, and improving over time.
• Collaborate with product management and operations to identify and prioritize use cases that could be solved with frontier LLMs or applied statistical/ML models.
• Design, test, and deploy scalable AI applications that are performant and impactful to the operational workflows of our claims adjusters.
• Mentor junior data scientists and machine learning engineers internally.
• Continuously deploy code from day one, influencing and enhancing our engineering culture.
• Communicate technical and statistical tradeoffs clearly and precisely to both technical and non-technical stakeholders.
• Engage with cross-functional teams including product ops, design, and sales as our product and engineering teams expand.

Benefits

• Generous health-insurance package with nationwide coverage, vision, & dental
• 401(k) retirement plan with employer matching
• Competitive PTO policy – we want our employees fresh, healthy, happy, and energized!
• Generous family leave policy after 8 months of continuous work
• Work from anywhere to facilitate your work life balance
• Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed