Senior Applied AI Engineer

Getloopworks; Miami Beach (FL); Hybrid; USD 180,000 - 265,000; Full time

Job summary

loopworks is hiring for a senior engineer to turn model capabilities into dependable product behavior in a hybrid Miami Beach setting. You’ll join a cross‑functional team building AI-enabled experiences with strong engineering judgment and a focus on privacy and user control.

You will own the engineering that makes model-powered behavior useful, bounded and observable in real product flows, build production AI flows with explicit context, and collaborate across product, data and engineering to

Qualifications

• Shipped LLM or Applied AI systems in production and can explain behavior under real usage.
• Strong Python, structured outputs and tool use; able to retrieve relevant context.
• Built model evaluations and regression tests; analyzes failures and adversarial inputs.
• Designed fallbacks, observability, rollback; understands latency and cost shaping quality.
• Collaborated across Product, Data and Engineering to translate requirements into shipped behavior.

Responsibilities

• Own the engineering that makes model-powered behavior useful, bounded and observable in real product flows.
• Build production AI flows within explicit context, permission and product boundaries; assemble authorized context.
• Build reliable model and tool workflows; ensure outputs are understandable and testable.
• Measure improvements against baselines; work with Data Science on quality and regressions.
• Design for provider failure, latency, cost; ensure behavior is observable and reproducible.

Skills

Production Applied AI

Python

retrieval & tools

Evaluation & adversarial testing

Reliability & performance

Product collaboration

Job description

Turn AI capability into dependable product behavior. Build and evaluate how loopworks reasons with context, uses tools and recommends a useful next move while people stay in control.

Full-time · Hybrid / office-centered

$180,000–$265,000 base Bonus, equity and benefits are separate.

We’re building technology that helps people connect what matters across work and life, recognize what needs attention, and move forward with greater clarity and control.

Product, engineering, data and design are actively developing the platform. We’re hiring the engineers and operating leaders who will drive its next stage.

You’ll turn model capabilities into reliable product behavior. Build and evaluate useful AI experiences with strong engineering judgment, thoughtful testing and respect for privacy and human control.

You’ll join while foundational product and operating decisions are still being made, with meaningful responsibility for what we build and how we build it.

Experience behind the ambition

Our founders and team bring experience across product, engineering, creativity, data and company building, with prior experience at Google, WPP, Publicis, The Trade Desk, People Inc., WebMD · Medscape, TomorrowVentures and MediaMath.

Prior experience of individual team members. No affiliation or endorsement implied.

02 / Your ownership

Make good AI
part of the product.

Own the engineering that makes model-powered behavior useful, bounded and observable in real product flows.

01 Bounded AI systems

Build production AI flows within explicit context, permission and product boundaries. Assemble relevant, authorized context and keep model behavior accountable to real product rules.

02 Model & tool behavior

Build reliable model and tool workflows. Make outputs understandable, test behavior carefully and help users stay informed and in control.

03 Evaluation & restraint

Measure whether a model materially improves a product path against simpler baselines. Work with Data Science to evaluate quality and regressions, including fallback, abstention or no model at all.

04 Reliability & observability

Design for provider failure, invalid output, latency, regression, cost and rollback. Make behavior observable and reproducible so the team can understand failures and improve the product.

03 / The practice

What great
looks like.

Boundaries hold.

AI behavior is understandable and carefully tested. You help build experiences that respect privacy, communicate limitations and support human judgment.

Failure stays safe.

Invalid output, provider failure and regression have explicit fallbacks and a practical rollback path. Product behavior can be tested and reproduced, with latency and cost treated as design choices.

Model use is earned.

Compare model behavior with simpler baselines. Use AI where it improves the experience, explain the tradeoffs and choose dependable alternatives when appropriate.

Collaborate across product, design, engineering and business teams. Translate requirements into testable behavior and explain tradeoffs plainly.

04 / What you bring

Ship with rigor.
Think with judgment.

Production experience, technical fluency and clear product judgment.

At least 5 years of experience in professional software engineering or applied AI engineering, including shipping and operating LLM or applied AI systems in production.

Required skills and experience

• Production Applied AI. You have shipped LLM or Applied AI systems beyond prototypes, and can explain how they behaved under real usage.
• Python, retrieval & tools. Strong Python, structured outputs and tool use. You can assemble relevant, authorized context through retrieval and build reliable model workflows.
• Evaluation & adversarial testing. You build model evaluations and regression tests, analyze failures, and test prompt injection and other adversarial inputs.
• Reliability & performance. You design fallbacks, observability and rollback. You understand how provider failure, invalid output, cost and latency shape product quality.
• Product collaboration. You have worked across Product, Data and Engineering, translating requirements into shipped behavior and explaining tradeoffs clearly.

Preferred background

Experience building within an AI-native company, frontier AI lab, developer platform or technically sophisticated software business is strongly preferred.

Shipping model-powered products; LLM evaluation; retrieval and tool use; permission-aware AI; and reliable model infrastructure.

We value demonstrated judgment and relevant work. A PhD is not required.

05 / The setting

Build together.
In Miami Beach.

At loopworks, we believe technology should make us more capable, connected, and human. We’re an ambitious, collaborative team where curiosity, individuality, and fresh perspectives matter. Help shape what comes next, and enjoy the ride along the way.

Build alongside your colleagues in Miami Beach, with the ocean, culture and energy of an international city part of your everyday surroundings. Bring ambition for the work and curiosity about the life you can build around it.

Responsibility with consequence

Help shape foundational decisions and see the connection between your judgment, the product and the company we build.

Work that stretches your craft

Work across disciplines on useful AI, dependable systems and a company designed to earn people’s trust.

Miami Beach, Florida

Four in-office days per week initially. After six months, one additional remote day may be approved based on performance, role and business needs.

$180,000–$265,000 annual base

Bonus, equity and benefits are separate.

06 / Your next move

Bring your judgment.
Help build what’s next.

What to expect

Expect conversations about your judgment, relevant work and how you collaborate. We’ll explain any assessment, its purpose, the expected effort and next steps before you proceed. You’ll have time to ask questions of the people you would work with. Hiring decisions are made by people.

Please share work you have permission to discuss. We do not ask for confidential information from current or former employers.

Candidate privacy

Candidate Privacy Notice

At loopworks, LLC, we respect your privacy and are committed to protecting the personal information you share with us during the recruiting process.

When you apply for a position or express interest in joining our team, we may collect your name, contact information, résumé, professional experience, qualifications, and other information you voluntarily provide.

We use this information for legitimate recruiting and employment-related purposes, including evaluating qualifications, communicating with candidates, conducting interviews, making hiring decisions, and complying with applicable legal obligations. Access is limited to authorized personnel and service providers involved in recruitment.

Hiring decisions are made by people, not automated candidate scoring or rejection systems.

We retain applicant information only as reasonably necessary for recruitment, applicable legal requirements, and legitimate recordkeeping purposes. Consideration for future opportunities will be handled separately where required by law.

Please do not submit Social Security numbers, financial information, medical records, or other sensitive personal information with your application.

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