At Underdog, we make sports more fun.
Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days.
We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app.
Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us.
Winning as an Underdog is more fun.
The AI Engineer role at Underdog is a unique position that combines deep technical execution with broad organizational impact. You accelerate high-value AI initiatives by rapidly prototyping, validating, and deploying production-ready solutions that deliver measurable ROI. Beyond building, you centrally own the integration and scaling of in-house and third-party AI, ensuring secure and unified architectures that enable scalable adoption. Acting as both a technical partner and an evangelist, you drive faster time-to-value, close bandwidth gaps, and embed an AI-first culture across the company by upskilling teams and shaping strategy in GenAI, agentic frameworks, and LLM-driven tooling.
About the role- Rapidly prototype, validate, and deploy production-ready AI solutions that drive measurable ROI.
- Partner cross-functionally to shape GenAI, agentic frameworks, and LLM-driven tooling strategy and execution.
- Own integration and scaling of in-house and third-party AI with unified, secure architectures.
- Serve as technical partner and evangelist to accelerate time-to-value, close bandwidth gaps, and upskill teams.
- Ensure AI-first adoption and enable scalable workflows across the company.
- Experience architecting, prototyping, and shipping end-to-end AI-powered solutions including agents, automations, copilots, and AI workflows for business and product use cases
- Experience evaluating, selecting, and integrating best-of-breed AI products—balance in-house development with secure, compliant adoption of third-party solutions
- Being hands on, leading technical initiatives, evangelizing best practices in prompt engineering, edge deployment, MLOps, and continuous improvement of our AI platform.
- Experience researching, prototyping, and implementing the latest advances in generative AI, including prompt orchestration, vector DBs, RAG, and agentic workflows.
- Experience with MCP servers and client interactions, message schemas, and ensuring context can be shared between AI models and external systems.
- Experience with model lifecycle management, prompt engineering, serving, and optimizing deep learning or generative AI systems.
- Experience working with cross functional collaboration with Security and IT to identify high-leverage AI data integrations, interfaces, and features, advocate for their enablement, and work to securely deploy them for safe adoption
- Hands-on experience with OpenAI, Anthropic, Mistral APIs; RAG pipelines using LangChain, LlamaIndex, DSPy
- Experience integrating modern LLMs, agentic frameworks, and generative AI models into Underdog’s tech stack—drive platform enhancements, orchestration, and security
- Experience designing, shipping, and scaling prototypes or production-ready AI applications (internal workflow agents, copilots, automation, customer-facing AI features)
- Knowledge of data security, privacy, compliance issues and responsible AI deployment; familiarity with regulated industries a plus
- Experience leading AI initiatives, automation adoption, or agentic workflow pilots at scale in a rapidly changing environment
- Contributed to the open-source AI community.
Our target starting base salary range for this position is between $160,000 and $240,000, plus pre-IPO equity. Our comp range reflects the full scale of expected compensation for this role. Offers are calibrated based on experience, skills, impact, and geographies. Most new hires land in the lower half of the band, with the opportunity to advance toward the upper end over time.
- Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
- 16 weeks of fully paid parental leave
- Home office stipend
- A connected virtual first culture with a highly engaged distributed workforce
- 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents
#LI-REMOTE
Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.
California Applicants: Review our CPRA Privacy Notice here.
Top Skills
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
