• Architect and ship production AI/ML systems — you write code, not just review it • Own the AI roadmap end-to-end: prioritization, trade-offs, delivery • Set technical standards for model quality, evals, observability, and reliability • Drive adoption of agentic coding tools to multiply team velocity • Partner with Platform Engineering on infrastructure, data pipelines, and APIs • Manage a distributed team of 8–10 engineers across Data and ML disciplines • Hire, develop, and retain engineers at all levels; build a high-trust remote culture • Partner with Product on roadmap sequencing and scope trade-offs • Communicate AI capabilities and limitations clearly to non-technical stakeholders • Own model performance metrics and drive continuous improvement pipelines

• Translate client requirements into technical specifications and scalable AI solution architectures. • Lead client-facing discovery sessions, workshops, and requirement-gathering activities, including the development and iteration of proof-of-concept prototypes. • Design, develop, and write clean Python/JavaScript code for Claude-powered applications, agents, and enterprise workflows. • Build integrated solutions using the Anthropic API, leveraging advanced prompt engineering and multi-turn conversation design. • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases for AI solutions. • Research evolving Anthropic features to provide gap analyses and recommend features that improve organizational effectiveness. • Lead the technical integration of Salesforce with third-party systems and AI orchestration layers like AWS Bedrock. • Partner with distributed delivery teams as a technical lead to drive best practices in modular design, automation, and prompt engineering. • Manage system release schedules and maintain comprehensive, AI-driven configuration documentation using Co-work.

Role Description As an AI-First Lead Engineer, you will own the end-to-end design, quality, and reliability of EZRA’s AI capabilities, shaping how AI powers our product experience. Reporting to the VP of Engineering, you will partner cross-functionally to deliver scalable, safe, and high-performing AI solutions that drive measurable user impact. A core focus of this role is leading EZRA’s fully AI-augmented development that represents a deliberate departure from the approach taken traditionally. This stream needs a different kind of developer: someone comfortable directing AI tools, thinking architecturally, and producing clear recommendations, not just code. You will help define how this way of working takes shape at EZRA, figuring out multi-agent patterns and long-running pipelines alongside leadership rather than waiting for a playbook to exist. What You'll Do - Define and lead the design of AI solutions, including model selection, prompting strategies, orchestration patterns, and fallback mechanisms. - Own AI evaluation frameworks, establishing quality metrics and driving continuous improvement through experimentation and iteration. - Implement and maintain safety guardrails, mitigating risks such as prompt injection, data leakage, and unsafe outputs. - Optimize AI systems for performance, latency, cost, and reliability, including observability and incident response readiness. - Provide technical leadership, mentoring engineers and setting best practices for AI-enabled development across teams. - Lead AI-augmented development in the Reimagine stream, directing AI tools architecturally and translating outputs into clear, defensible technical decisions. - Design and evolve multi-agent patterns and long-running pipelines from first principles, working alongside leadership in a genuinely greenfield environment. - Critically evaluate AI-generated code for correctness, security, and enterprise suitability for shipping solutions fast without cutting corners on quality. Qualifications - 8+ years of engineering experience, including 5+ years delivering ML/AI solutions into production environments. - Strong proficiency in Python and hands-on experience with modern ML/LLM tooling, orchestration frameworks, and APIs. - Experience designing and implementing evaluation frameworks with measurable quality metrics. - Practical knowledge of AI safety risks and mitigation techniques (e.g., hallucinations, prompt injection, data leakage). - Experience optimizing systems for performance, cost efficiency, and scalability in production environments. - Experience working with cross-functional teams to translate product requirements into technical solutions. - Strong TypeScript/Node fundamentals: able to critically evaluate AI-generated code, not just ship it. - Actively building with LLMs already: shipping product features, agentic workflows, or clearly headed there fast. - Strong judgment on the speed/quality/security trade-off, particularly in an enterprise context where corners cannot be cut. - Comfortable being early: you experiment constantly, have opinions, and can help define patterns rather than waiting for a playbook to exist. Benefits - Your Own World-class coach to help you grow personally and professionally. - Coaching for Friends and family because coaching is a gift worth passing on. - Charity Days to support the causes close to your heart - because doing good feels good. - Learning Budget to fuel your curiosity. If it helps you grow, we’re in. - Weekly Wellbeing Hour just for you. No meetings. No emails. Just space to breathe, reflect, or reset. - Regional benefits flex to fit your location and lifestyle. - A welcoming place to do your best work. Comfortable, collaborative and inclusive.

Role Description I'm Michael Song, Senior Director, Engineering at Teamworks, and I'm hiring a Senior Applied AI Engineer to build GenAI inside our Hub product. We're investing heavily in GenAI to help sports organizations make better decisions faster, and I need someone who can turn that ambition into production-grade reality. The work is shipping features that real teams depend on in high-stakes environments. Teamworks Hub powers more than 6,500 sports organizations and is now expanding into high-performance tactical environments through the Army's H2F program. On the Hub team, you'll own GenAI features that reach a broad and demanding user base, and you'll help shape the platform capabilities other Teamworks products depend on every day. - Design, build, and ship production-grade GenAI features that help teams explore data, ask better questions, and trust the answers they get. - Own GenAI features end-to-end, from system design and LLM integration through deployment, monitoring, and iteration. - Build and maintain reusable GenAI platform components that make it easier and safer for teams across Teamworks to ship AI-powered features. - Establish and document best practices for building, testing, and operating GenAI systems reliably in production. - Make architectural decisions that balance speed, scalability, reliability, security, and cost in a multi-tenant data environment. - Partner with Product, Design, and domain subject-matter experts to deliver trustworthy, explainable AI experiences that align with real user workflows. Qualifications - 6+ years of professional software engineering experience building and operating production systems with real customer impact. - Proven experience shipping GenAI-powered or ML-enabled features to production, with ownership beyond prototypes or demos. - Strong proficiency in TypeScript and Node.js, including building and maintaining backend services and APIs. - Solid system design and architecture skills, with experience designing distributed, reliable, and observable services. - Strong data reasoning and SQL fundamentals, including aggregation, time-based analysis, and performance considerations. - Hands-on experience designing and operating production GenAI systems with prompts, tool interfaces, guardrails, and failure handling in cloud environments (AWS preferred). Requirements - You have experience integrating AI-driven workflows into React-based user interfaces. - You're familiar with Infrastructure as Code (Terraform or similar) and cloud-native deployment practices. - You have experience with observability and evaluation for AI-powered systems (logging, metrics, regression checks). - You have exposure to data platforms or lakehouse-style architectures. Benefits - GenAI is moving from a feature to a foundation at Teamworks, and the person in this role will help define how the entire engineering organization builds with it. - You'll have real architectural ownership, a platform mandate, and the opportunity to set standards that outlast any single feature. Company Description We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email talent@teamworks.com. To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.