AI Developer Intern leading development and implementation of AI tutors for Universa AI Academy curriculum. Responsible for creating AI - powered learning experiences without human instructors.
About the role
- Principal AI Engineer developing LLM-powered product capabilities for ABC Fitness. Collaborating cross-functionally to drive innovation and build cutting-edge solutions in AI technology.
Responsibilities
- Work cross-functionally with Product/Design to translate ambiguous problems into measurable outcomes and shippable iterations.
- Lead the estimation of work at the quarterly level.
- Provide alternative solutions and negotiate with Product Management.
- Build and ship LLM-powered product capabilities end-to-end: APIs, orchestration logic, integrations, and production rollouts
- Design and implement agentic workflows (tool use, planners/routers, multi-step reasoning, handoffs, memory/state management) using modern orchestration frameworks (e.g., Lang Chain/Lang Graph-style)
- Develop strong prompting + context engineering practices, including prompt versioning and experimentation (e.g., A/B testing approaches)
- Build evaluation harnesses for LLM apps: curated test sets, automated checks, offline/online metrics, human review loops, and regression gates for changes
- Collaborate with platform/infra teams to deploy on AWS, ensuring reliability, security, scalability, latency, and cost controls
- Be an active participant in the day-to-day agile activities of the team including sprint planning, daily standups, sprint reviews, and retrospectives
- Instrument systems for observability (quality, latency, token/cost, errors) and create feedback loops to improve model+system behavior over time
- Develop high quality solutions; leads the creation of new standards, patterns, and best practices
- Write architecture & design documentation for new products, systems, and patterns
- Review the work of teammates to ensure quality and adherence to system architecture and best practices; identify where new designs will require architectural changes
- Mentor junior developers to grow their skills
- Troubleshoot and resolve complex and highly escalated customer/QA found issues in a timely manner
- Experiment with new technologies that can enhance our tech stack. Provide new technology insights to remainder of development team.
- Lead the implementation of development process improvements that add efficiency for the entire development team
- Participate in build vs. buy analysis and complex decision making
- Conduct regular, self-guided study to stay current on new and existing technologies
- Participate in the hiring process and technical screens with an aim of attracting and hiring the very best engineers; work to expand the onboarding efficacy and vision
- May represent the team through presentations to other company departments and customers
Requirements
- Engineering or Comp Science degree or equivalent work experience
- 9+ years of professional experience in software engineering, applied ML, data science engineering, or AI product engineering
- Strong Python skills, experience building backend services (e.g. Flask/FastAPI) and integrating with REST APIs
- Some applied ML / data science experience (e.g., experiments, model evaluation, error analysis, feature work, or shipping ML-informed product changes), even if your recent focus has shifted toward software/AI engineering
- Practical understanding of LLMs/SLMs and how they behave in production (hallucinations, prompt sensitivity, latency/cost tradeoffs)
- Hands-on experience building LLM applications (RAG, tool use, agents, workflow orchestration), with the ability to demonstrate end-to-end ownership from prototype‚ production‚ measurement, iteration
- Experience with cloud infrastructure (e.g. AWS) and shipping production workloads (containers, deployments, monitoring)
- Strong engineering fundamentals: testing, debugging, performance thinking, and clean, maintainable design
- Excellent communication skills and ability to collaborate effectively in fast-paced, agile environments
- Comfortable learning new technologies and system
Benefits
- Time Off – with our open PTO policy, we offer flexibility in how and when you take PTO!
- Days of Disconnect – once a quarter, we take a collective breather and enjoy a day off together around the globe. #oneteam
- Parental & Pawternity Leave – we offer leave for when your family grows by two feet or four paws!
- Best Life Perk – we are committed to meeting you wherever you are in your fitness journey with a quarterly reimbursement
- Medical/Dental/Vision coverage
- EAP – we get you help when you need it. Period.
- Premium Calm App – enjoy tranquility with a Calm App subscription for you and up to 4 dependents over the age of 16
- And more! – so many benefits we couldn’t even fit them all here!
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