Foundation AI

Design and operate infrastructure and tooling for production AI systems, collaborating with ML scientists and product managers. | 5+ years software engineering with 2-3 years in MLOps or AI platform roles, proficient in Python and cloud-native environments. | About US: Foundation AI is the only AI Native documents intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes millions of documents each month for hundreds of US law firms, including many of the largest and most respected plaintiff and injury law firms in the country. Find out more at www.foundationai.com. Job Overview: At Foundation AI, we are looking for a Senior Software Engineer to join our AI Pipeline team. In this role, you will design, build, and operate the infrastructure and tooling that powers our production AI systems - spanning model versioning, data and prompt pipelines, experimentation frameworks, and deployment automation. You will work at the intersection of ML engineering and platform engineering, ensuring our models reach production reliably, safely, and at scale. We are looking for an excellent problem solver and proficient coder with strong adaptability, communication skills, and a drive to learn. Key Responsibilities: ML Pipeline Development: Design, build, and maintain end-to-end ML pipelines covering data ingestion, preprocessing, model training, evaluation, and serving. Ensure pipelines are reproducible, observable, and production-grade. MLOps & Model Lifecycle Management: Own model versioning, data versioning, and prompt versioning across environments. Implement rollout automation, canary deployments, and rollback mechanisms for safe model releases. Experimentation & A/B Testing: Build and operate side-by-side deployment infrastructure and A/B testing frameworks to evaluate model variants in production with rigorous statistical guardrails. Monitoring & Observability: Implement drift detection, data quality monitoring, and alerting across the pipeline stack. Define SLOs for model and pipeline health and drive incident response. CI/CD for ML: Extend CI/CD practices to the ML lifecycle—automating training triggers, evaluation gates, and deployment workflows integrated with the broader engineering delivery pipeline. System Architecture: Design and implement robust, high-performance, and secure ML infrastructure. Evaluate and adopt tooling (Bedrock, MLflow, Airflow, and others) to accelerate the team’s capabilities. Technical Leadership: Provide mentorship and guidance to junior engineers, foster a culture of knowledge-sharing, and influence ML engineering best practices at the team and organizational level. Code Reviews & Quality: Ensure code quality through peer reviews, unit testing, and adherence to coding standards across pipeline and platform code. Cross-Functional Collaboration: Work closely with ML scientists, product managers, and infrastructure teams to translate model development needs into reliable production systems. Security & Compliance: Ensure pipelines and model artifacts follow best security practices and industry compliance standards relevant to legal document processing. Documentation: Maintain clear technical documentation for pipelines, model registry conventions, and operational runbooks. Responsibilities may be tailored based on the candidate’s experience and proficiency. Skills and Tools: Experience: 5+ years in software engineering, with at least 2–3 years in ML engineering, MLOps, or AI platform roles. MLOps & ML Lifecycle: Hands-on experience with model versioning, data versioning, prompt versioning, experiment tracking, and deployment automation in production environments. Pipeline Tooling: Proficiency with workflow orchestration (Apache Airflow or equivalent), experiment tracking (MLflow or equivalent), and cloud-based model hosting (AWS Bedrock or equivalent). A/B Testing & Rollout Automation: Experience designing and operating side-by-side deployments, shadow mode evaluation, canary releases, and automated rollback strategies for ML models. Monitoring & Observability: Familiarity with model drift detection, data quality monitoring, and pipeline alerting; experience defining and tracking ML-specific SLOs. Cloud Infrastructure: Experience with AWS services (S3, ECS/EKS, Lambda, Step Functions, or equivalents); comfort operating in a cloud-native environment. Programming & Development: Proficient in Python; writes scalable, maintainable, and secure code. Experience with SQL and familiarity with data engineering patterns is a plus. CI/CD for ML: Experience extending CI/CD principles to ML workflows, including automated training pipelines, evaluation gates, and model promotion flows. Architecture & Design: Designs modular, high-performance systems; able to drive technical decisions and articulate trade-offs clearly. Testing & Quality: Implements automated testing for pipeline components; values reproducibility and reliability in ML systems. Problem-Solving & Critical Thinking: Tackles ambiguous, complex challenges; evaluates trade-offs across performance, reliability, and development velocity. Communication & Leadership: Guides teams effectively, communicates technical strategy clearly, and influences architectural decisions across functions. Education A B-Tech degree in Computer Science or equivalent experience relevant to the functional area. Our Commitment: Foundation AI is an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic. Our hiring decisions are based solely on qualifications, merit, and business needs at the time. For any feedback or inquiries, please contact us at careers@foundationai.com Learn more about us at www.foundationai.com

Define and communicate product vision, manage and prioritize backlog, collaborate with AI-focused development teams, engage stakeholders, and champion Scrum practices. | Minimum 5 years as Product Owner in Scrum, experience with AI/data science teams, CSPO certification, strong communication, and ability to manage competing priorities. | About Foundation AI Foundation AI revolutionizes how law firms manage their incoming documents and case files. Our cutting-edge platform automates manual processes—capturing, classifying, and integrating documents into existing case management systems—so law firms can focus on delivering exceptional client service, not administrative drudgery. Top firms nationwide trust Foundation AI for a more efficient, error-free workflow. Our Culture & Commitment We are a growing, mission-driven team passionate about using AI to bring transformative efficiency to the legal industry. We embrace diversity and inclusion, encourage open dialogue, and value a growth mindset. At Foundation AI, you’ll be supported by a team that values innovation, curiosity, and personal development. Position Summary Foundation AI is seeking an experienced and results-driven Product Owner to join our team. In this role, you will collaborate closely with cross-functional teams, including data scientists, AI engineers, and software developers, to deliver innovative SaaS solutions that transform the legal tech industry. The ideal candidate has a strong background in product ownership with SaaS products, a passion for data science and artificial intelligence, and a proven track record of driving product success in high-growth environments. Key Responsibilities Product Vision: Define, develop, and communicate the product vision, aligning with the product roadmap, organizational goals and customer needs. Translate high-level business requirements into clear and concise user stories and acceptance criteria. Backlog Management: Own and prioritize the product backlog, ensuring it is transparent, well-organized, and reflects business and customer priorities. Collaborate with stakeholders to refine and prioritize features for maximum business value. Collaboration with Development Teams: Work closely with development teams focused on data science and artificial intelligence to ensure successful implementation of product requirements. Provide clear guidance and direction to the Scrum team during Sprints and ensure alignment with the product vision. Stakeholder Engagement: Act as the primary liaison between the development team and stakeholders, ensuring alignment on goals and deliverables. Gather feedback from end-users, customers, and stakeholders to inform product improvements. Market Research and Analysis: Stay updated on trends in data science, artificial intelligence, and legal technology. Identify opportunities for differentiation and innovation. Scrum Practices: Champion the Scrum framework within the team, facilitating Scrum ceremonies, including Sprint Planning, Reviews, and Retrospectives. Foster a culture of continuous improvement and learning within the team. Required Qualifications Experience: Minimum of 5 years of experience as a Product Owner in a Scrum environment. Proven experience working with development teams focused on data science and artificial intelligence projects. Demonstrated experience working in high-growth companies, managing rapid scaling and evolving product demands. Certification: Certified Scrum Product Owner (CSPO) Skills: Strong understanding of data science concepts, machine learning workflows, and AI-driven product development. Excellent communication and interpersonal skills, with the ability to translate technical concepts into business value and vice versa. Demonstrated ability to manage competing priorities and deliver high-quality products on time. Preferred Qualifications Experience in the legal tech industry, with knowledge of law firm workflows, case management/practice management systems and platform integrations a plus. Familiarity with tools and platforms commonly used in Scrum frameworks, such as JIRA and Confluence. Background in data-driven decision-making, including experience with analytics tools and techniques. Company Culture and Values At Foundation AI, we believe in fostering a culture built around shared success, integrity, and continuous growth. Our core values guide everything we do: Winning Together: Collaboration is at the heart of our success. We thrive on teamwork and celebrate shared achievements. Think Like a Customer: We put ourselves in our customers’ shoes to deliver exceptional value and solutions that meet their needs. Do It Right: Integrity and quality define our work. We strive to uphold the highest standards in everything we do. Own Your Impact: We take accountability for our contributions and recognize the difference each team member makes. Continuous Improvement: We embrace innovation and learning, always looking for ways to grow and evolve. What We Offer Opportunity to work on cutting-edge AI and data science projects that shape the future of the legal tech industry. Collaborative and innovative team environment. Competitive compensation and benefits package. A culture that values personal and professional growth. Equal Opportunity Employer At Foundation AI, we are committed to creating an inclusive and diverse workplace. We value equal opportunity and affirmative action principles, giving everyone an equal chance to succeed. We are dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Upholding these values and adhering to applicable laws is paramount to us.