Staff AI Engineer - Remote - USA

FullStack Labs

$120K — $160K *
US-AnywhereRemote in San Antonio, TX
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of professional AI/ML engineering experience
  • Advanced English proficiency
  • Bachelor's degree required
  • Hands-on experience with high-performance production code
  • Experience integrating AI into large-scale microservice architectures
  • Proven ability to solve complex, real-world AI problems
  • Expertise in token economics and context window management

Responsibilities

  • Integrate into client teams for augmented collaboration
  • Design and build products as part of a FullStack product team
  • Ensure robust, scalable, and secure AI solutions
  • Lead technical decisions in ambiguous situations
  • Contribute to libraries and maintain CI/CD applications
  • Deliver on commitments to clients consistently
  • Collaborate effectively within Agile/Scrum teams

Benefits

  • 100% remote work
  • Opportunity to collaborate with leading startups and Fortune 500 companies
  • Health, dental, and vision insurance
  • 401(k) with 4% match
  • Paid Time Off (vacation, sick leave, maternity/paternity leave, holidays)
  • Career advancement opportunities
  • Continuing education support
Full Job Description
The Position

We're looking to hire a Staff AI Engineer to join our team. You'll work with our incredible clients in one of two ways:

  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.


What We Are Looking For

  • 8+ years of professional AI/ML engineering experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Hands-on experience building and maintaining high-performance code in production environments, moving beyond theoretical or advisory-only roles.
  • Proven experience integrating AI capabilities into large-scale, existing microservice architectures and traditional engineering stacks (e.g., .NET).
  • Track record of solving complex, real-world problems using recent, practical AI implementation techniques.
  • Deep experience in optimizing token economics and managing context window constraints to balance cost and performance.
  • Adept at designing and orchestrating agentic systems, including the use of sub-agents and specialized skills.
  • Solid background in software engineering fundamentals, ensuring AI solutions are robust, scalable, and secure.
  • Expertise in modern AI frameworks and development approaches, staying ahead of rapidly evolving industry standards.
  • Skilled at providing informed opinions and battle-tested best practices rather than repeating publicly available knowledge.
  • Capable of working with ambiguity to guide technical decisions and act as a "phone-a-friend" expert for difficult implementation challenges.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.


What We Offer

  • Competitive Salary.
  • Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

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