Forward Deployed AI Engineer, CLEAR
$180-220k
+ Restricted Stock Units
Secure identity company making experiences safer & easier
Be an early applicant
Secure identity company making experiences safer & easier
1001+ employees
Be an early applicant
$180-220k
+ Restricted Stock Units
1001+ employees
Company mission
To strengthen security and create frictionless experiences.
Role
Who you are
- 2+ years of experience in software engineering, AI engineering, machine learning engineering, data engineering, or related technical roles
- Hands-on experience building with LLMs, AI agents, RAG, model APIs, prompt engineering, or AI application frameworks
- Strong programming skills in Python and/or another modern backend language
- Experience building and deploying production systems with APIs, data platforms, cloud infrastructure, logging, monitoring, and testing
- Ability to work directly with business teams to understand ambiguous workflows and turn them into usable AI products
- Strong product judgment and ability to identify practical, high-ROI AI use cases
- Understanding of responsible AI concepts, including evals, guardrails, data privacy, security, human oversight, and model governance
- Ability to communicate complex technical concepts to technical, non-technical, and executive stakeholders
- Comfort operating in fast-paced, ambiguous environments with strong ownership from idea to impact
- Passion for building AI systems that are practical, secure, measurable, and user-centric
What the job involves
- In this role, you will design, build, and deploy AI-powered systems that accelerate AI adoption across CLEAR’s internal workflows and customer-facing product experiences
- This role will partner directly with Product, Engineering, Data, Security, Legal, Compliance, Operations, and business teams to identify high-impact AI opportunities, rapidly prototype solutions, and productionize reliable, secure, and measurable AI systems
- You will own use cases end-to-end, from discovery and evaluation through launch, monitoring, and iteration
- Discover, prioritize, and build AI use cases across internal tools, employee workflows, and customer-facing product features
- Partner with Product, Engineering, Data, Security, Legal, Compliance, and Operations to translate business needs into AI-driven solutions
- Rapidly prototype AI agents, LLM applications, RAG workflows, automation tools, and product experiences
- Productionize validated AI use cases with strong evaluation, monitoring, logging, fallback paths, and operational ownership
- Build reusable patterns for prompt management, retrieval, tool use, evals, guardrails, and human-in-the-loop workflows
- Implement responsible AI best practices, including privacy, security, model governance, risk review, and customer impact assessment
- Measure and communicate AI impact across adoption, quality, cost reduction, productivity, customer experience, and business outcomes
- How you’ll measure success:
- Number of high-impact internal and customer-facing AI use cases launched
- Adoption and measurable business impact of AI-powered tools and features
- Quality, reliability, latency, and safety of deployed AI systems
- Reduction in manual work, operational cost, or customer support volume
- Improvement in customer experience, containment, accuracy, or workflow efficiency
- Percentage of AI use cases with clear owners, evals, monitoring, and governance controls
- Speed from AI opportunity identification to prototype, pilot, and production launch
Our take
Waiting in a security line is something everybody could do without before a long flight – and this unpleasant scenario is what CLEAR allows its millions of members to avoid. The company creates a single touchless ID based on a user’s biometrics, such as their eyes and face, enabling quick identity verification and frictionless travel.
CLEAR continues to develop its product, and is now moving beyond airports into office buildings, restaurants, and stadiums. The technology has already been used by several sports and entertainment partners, including multiple NBA teams and in the Super Bowl.
The company went public on the NYSE in June 2021 following a strategic funding round of $100M, which is being invested into accelerating the company's growth whilst expanding its offerings. Its technology is now being used for age verification, virtual queuing, and checking in.
Steph
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Feb 2021
$100m
LATE VC
Apr 2017
$15m
LATE VC
Total funding: $135m
Company HQ
Chelsea, New York, NY
Leadership
Caryn Seidman Becker
(Co-Founder, CEO & Chairman)Prior to CLEAR, they created the Arience Foundation and The Happy Elephant Foundation which support charter schools, cancer research, child wellness, and the New York City community. They sit on the Board of Directors of Mt. Sinai Children's Center and the Young Women's Leadership Network.
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