Staff Software Engineer

FanDuel
Remote

About The Position

We’re looking for passionate technologists, strong communicators, and those with a commitment to continuous improvement. The ideal candidate will have the confidence to propose pragmatic solutions to complex problems and be eager to learn from and educate others. As an AI software engineer, you will work in empowered, multidisciplinary teams, autonomously tackling complex challenges that provide the very best experiences and products for a growing community of millions of players as we build out an exciting and innovative customer experience within the fast paced and growing sports betting environment. As a member of Tech Transformation team, you will research and build proof of concepts using new and innovative technologies to provide new and cutting-edge customer experiences and drive internal innovations for the business. You will be asked to think big and be willing to move fast. You’ll identify opportunities and put them into action quickly, and you won’t be afraid of to fail quickly. When successful solution is identified, you’ll know how to build it for scale and longevity for our rapidly growing company. You write secure, stable, testable, maintainable code with minimal defects. You are proficient in a broad range of data structures and algorithms, knowing when it is appropriate to use them and when it is not. You make appropriate implementation trade-off decisions. You participate in team design, scoping, and prioritization discussions. You seek to learn the business context and technologies behind your team's software. You work effectively with other team members & identify any opportunities/problems arising from technical decisions. You invent, refine, and develop your solutions to ensure they are meeting customer needs and team goals. Most importantly, you are a passionate advocate for our customers. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

  • BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience. 7+ years of relevant work experience.
  • Experience designing and delivering production-grade LLM/agent workflows, including tool/function calling, orchestration patterns, and retrieval-augmented generation (RAG), with clear strategies for prompt/version management, latency/cost controls, and reliability.
  • Proven track record operationalizing LLM systems end-to-end, including automated evaluation (offline + online), telemetry/monitoring, guardrails, and incident response/playbooks to maintain quality over time
  • Experience integrating LLM capabilities into existing services and SDLC, including CI/CD, testing strategies (unit/integration + LLM evals), and safe rollout patterns (feature flags, canaries, A/B tests)
  • Experienced in exhibiting a very high standard of technical judgement, innovation and execution to tackle open-ended problems that require difficult prioritization, defining both the what and how of things to be done.
  • Solid experience building and designing highly scalable, fault tolerant and always available systems
  • Understanding of modern architectures, design patterns, and platform nuances
  • Expertise in at least one higher level language (Pyhton, JS, Java, .NET)
  • Fullstack experience owning building and designing highly scalable, fault tolerant and always available systems in React, React Native, Native and Node.JS backend.
  • Strong experience helping lead software engineering teams across Web, Mobile, and/or connected devices spaces.
  • Experience working with cloud-based infrastructure and technologies, preferably AWS
  • Proficient in responsibility delegating, mentoring, and empowering individuals.
  • Track record of owning the outcome of technical delivery.
  • Passion for quality and understanding of quality best practices within an SDLC, with experience in unit testing, testing tools, or integrating testing.
  • Strong sense of ownership, urgency, and drive with demonstrated abilities driving operational excellence and best practices.
  • You’re passionate about the fast-paced, innovative, and growing Sports Betting industry.

Responsibilities

  • You rapidly prototype, experiment, and demonstrate production-like capabilities
  • You work on project ideas and strategy with customers, stakeholders, and peers, balancing customer requirements with the team requirements, and strive to become a subject matter expert.
  • You will always seek incremental delivery and you will pivot, when necessary
  • You help lead your team when it comes to code quality and roadmap, by owning your team’s tech debt & tech improvement roadmaps.
  • Drive engineering engagement best practices (e.g., Operational Excellence, Security, Quality, etc.) and set standards.
  • Self-manage your craft by deliberately owning the outcome of key initiatives, delegating to and empowering teammates, pairing with your engineering manager to improve delivery, and proud to represent your team and Sportsbook.
  • You foster a constructive dialogue and seek resolutions in a professional way.
  • You keep yourself up to date with market standards and open-source frameworks.
  • You provide excellent customer support on an on-call rotation where required.
  • Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm.

Benefits

  • We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
  • We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards.
  • Benefits differ across location, role, and level.
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