Job Title: Senior Full Stack Engineer with AI (FTE)

Company Name: Foundry Robotics

Job Details: $120k-$150k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/p3j9r4mjdbrnuky7

Job Description: Posted 22h agoSenior Full Stack Engineer with AI (FTE)@ Foundry RoboticsView All JobsWebsiteGreen Bay, Wisconsin, United States$120k-$150k/yrRemoteFull TimeResponsibilities:Design AI, Collaborate teams, Scale infraRequirements Summary:Senior software engineer with 5+ years, AI/ML focus, full-stack with Python, JavaScript/TypeScript, and cloud infrastructure experience.Technical Tools Mentioned:Python, ReactJS, Node.js, TensorFlow, Scikit-learn, BigQuery, dbt, Apache Beam, GCP, Docker, Kubernetes, Terraform, Airflow, SQL, JavaScript, TypeScript
OVERVIEW:ROLE: Senior Full Stack Engineer with AIROLE TYPE: Direct HireCOMPENSATIONBASE: Base salary is flexible and will be determined based on experience and overall fit for the role.BONUS: This position is eligible for an annual performance bonus targeted at 15% of base salary, with the opportunity to earn up to 30% of base for exceptional company performance.WORK LOCATION: Client is based in Wisconsin, but this role can operate anywhere in the US. That said, they prefer someone in the upper Midwest (i.e., someone who could drive to Green Bay, WI, for occasional on-site meetings without too much effort). So, candidates outside that range (i.e., > 700 miles one way) would need to be a high degree fit to be considered.WORK AUTHORIZATION: The client cannot sponsor visa candidates; therefore, work authorizations must be held by U.S. citizens, Permanent Residents (Green Card holders), or Visas not based on employer sponsorship (such as visas sponsored by a spouse or relative).START: ASAPJOB ID: BTF-260405DETAILS:This role is for a Senior Full Stack AI Engineer focused on building and integrating generative AI and machine learning capabilities into production software applications. The position blends frontend, backend, and data engineering responsibilities, with an emphasis on taking AI models-particularly LLMs-from concept through deployment in scalable systems. The engineer will collaborate closely with cross-functional teams to design AI-enabled features, optimize model performance, and ensure seamless integration into user-facing products. This work supports a data-driven organization that delivers sustainable fuel and freight solutions, leveraging large-scale transportation datasets to improve cost efficiency, transparency, and environmental impact across supply chains.KEY SKILLS:Tier 1 – Non-Negotiable (Core AI Capability; 2+ years' experience)Generative AI platforms (GPT-4, Gemini, Llama, Vertex AI)Model fine-tuning (pre-trained models, applied ML use cases)PythonTier 2 – Core Build & Product Engineering (5+ years as a software engineer)Machine Learning frameworks (TensorFlow, Scikit-learn)Full-stack development (ReactJS, Node.js)ETL / Data pipelinesData platforms (BigQuery, dbt, Apache Beam)Tier 3 – Deployment, Scale & InfrastructureCloud infrastructure (GCP or similar)Containerization & orchestration (Docker, Kubernetes)Infrastructure as code/workflow orchestration (Terraform, Airflow)Tier 4 – Supporting / Expected FundamentalsSQLPerformance optimization (AI/ML pipelines, inference latency)NICE TO HAVE REQUIREMENTS:JavaScript / TypeScript (if already covered via React/Node, not critical separately) CI/CD pipelines DevOps practices (general) Data modeling / data warehousing concepts Distributed data systems Application architecture knowledge (beyond practical experience) Agile / Scrum / Kanban Data integration concepts (theoretical vs hands-on)RESPONSIBILITIES:Design and deliver AI/ML-enabled features that enhance product capabilities and user experience Collaborate with cross-functional teams (engineering, data science, product) to translate business requirements into technical solutions Contribute to architectural decisions around integrating AI technologies into existing systems Build and maintain scalable, production-ready software applications incorporating AI/ML components Troubleshoot and resolve issues related to model performance, system integration, and production behavior Write and maintain unit and integration tests to ensure the reliability of AI/ML and application components Continuously evaluate and incorporate emerging AI/ML technologies to drive innovation Propose and implement AI-driven solutions to solve business problems and improve operational efficiency Partner with senior engineers to refine development processes and best practices for AI/ML integration Share knowledge and mentor team members on AI/ML concepts and implementation approachesNOTABLE BENEFITS:Competitive pay commensurate with experienceBonus (see above for details)Medical, Dental, Vision, Life insurance, AD&D, Disability, FSA (healthcare/childcare), HSA, 401kHOW TO APPLY:If you are a motivated and organized individual passionate about Information Technology, we would love to hear from you. To apply, please answer our applicant questions and submit your resume detailing your qualifications and relevant experience. We look forward to hearing from you!Amplified Sourcing is an equal opportunity employer and will consider all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.