As an Applied AI Product Engineer, you will build internal products and integrations that help content, product, and research teams design, evaluate, and launch AI-powered experiences. You will work across the product lifecycle, from understanding ambiguous user problems and defining a technical approach to implementation, launch, and iteration.
This is a hands-on engineering role. Most of your time will be spent designing, coding, testing, and operating solutions, with enough internal user interaction to ensure we are solving the right problems. A core part of the role is turning repeated technical support and manual workflows into reliable self-service tools. The work spans AI product evaluation tooling, data and analytics workflows, and new applied-AI prototypes.
What you’ll do
• Partner with technical and non-technical users to understand the problem, desired outcome, and constraints before selecting a solution.
• Build end-to-end internal products, integrations and data workflows.
• Turn prototypes and one-off solutions into reliable, reusable capabilities.
• Design evaluation and feedback loops for AI-powered workflows.
• Apply production engineering practices, including testing, observability, actionable errors, and safe failure handling.
• Use AI coding tools thoughtfully, reviewing and validating all generated work.
• Measure adoption, quality, time saved, and reduction in manual support.
• Create documentation and onboarding paths that allow users and engineers to operate independently.
• Own and prioritize several technical workstreams, making clear trade-offs based on impact and complexity.
Minimum qualifications
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 6+ years of experience building production software in software engineering, product engineering, ML engineering, or a hands-on technical solutions role.
• Experience independently owning scoped technical products from an ambiguous problem through design, implementation, launch, and iteration.
• Proficiency in one or more general-purpose programming languages such as Python, JavaScript/TypeScript, Java, PHP/Hack, C++, or similar.
• Experience building or integrating APIs, backend services, data workflows, or full-stack products, including debugging complex integration issues.
• Experience applying production engineering practices such as automated testing, observability, actionable errors, and safe failure handling.
• Experience using data and metrics to evaluate outcomes and communicating technical concepts and trade-offs to technical and non-technical stakeholders.
Preferred qualifications
• Experience building or integrating AI/ML-enabled products, evaluation systems, or agentic workflows.
• Experience building internal tools, developer platforms, or reusable self-service capabilities.
• Strong product judgment or experience influencing product roadmaps by translating user feedback into actionable engineering requirements.
• Demonstrated experience using AI-assisted development or LLM-based systems to improve engineering velocity or redesign operational workflows, while independently reviewing and validating the resulting work.
• Experience contributing to shared codebases using version control, code review, automated testing, and documented engineering practices.
• Experience applying responsible AI practices such as risk assessment, bias mitigation, and quality and accuracy reviews.
This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta
The pay range that Tundra in good faith reasonably expects to pay for this position is $80/hour - $90/hour.
Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.
We would like to thank you for your interest in this opportunity. However, only candidates under consideration will be contacted.
Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment.
This post is for a contract assignment. Assignment duties and duration are subject to business needs and requirements. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics.
California Notice: Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
New York Notice: Notice Regarding Automated Employment Decision Tools in New York City
Meta and Tundra Technical Solutions, its recruiting services provider, use software with artificial intelligence and automated processing features to assist with recruiting for this role, including sourcing and reviewing applications. A recruiter or hiring manager decides which candidates advance.
The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.
At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.
We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference
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