Staff AI Software Engineer

About the Role

The ideal candidate will have a strong background in designing and delivering production-grade LLM/agent workflows, including tool/function calling, orchestration patterns, and retrieval-augmented generation (RAG). You will be working in a fast-paced environment, where the ability to think big, move quickly, and learn from failures is essential.

What You Will Do

• Research and build proof of concepts using new and innovative technologies to provide cutting-edge customer experiences
• Design and deliver production-grade LLM/agent workflows, including tool/function calling, orchestration patterns, and retrieval-augmented generation (RAG)
• Collaborate with multidisciplinary teams to identify opportunities and put them into action quickly
• Work effectively with other team members to identify any opportunities/problems arising from technical decisions
• Participate in team design, scoping, and prioritization discussions
• Seek to learn the business context and technologies behind your team's software
• Invent, refine, and develop your solutions to ensure they are meeting customer needs and team goals
• Rapidly prototype, experiment, and demonstrate production-like capabilities
• Work on project ideas and strategy with customers, stakeholders, and peers, balancing customer requirements with the team requirements
• Strive to become a subject matter expert in your area of expertise

What We Are Looking For

• BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience
• 7+ years of relevant work experience in AI software engineering
• Experience designing and delivering production-grade LLM/agent workflows, including tool/function calling, orchestration patterns, and retrieval-augmented generation (RAG)
• Proven track record of operationalizing LLM systems end-to-end, including automated evaluation (offline + online), telemetry/monitoring, guardrails, and incident management
• Strong understanding of data structures and algorithms, knowing when it is appropriate to use them and when it is not
• Excellent communication and collaboration skills
• Ability to work effectively in a fast-paced environment and adapt to changing priorities

Nice to Have

• Experience with Adjust and Excel
• Knowledge of cloud-based technologies and containerization
• Familiarity with agile development methodologies
• Experience with automated testing and deployment

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work on cutting-edge AI projects and collaborate with a talented team
• Remote work options and flexible working hours
• Professional development and growth opportunities
• Access to the latest technologies and tools
• Health and wellness benefits, including medical, dental, and vision insurance
• 401(k) matching and retirement savings plan
• Paid time off and vacation days
• Holiday pay and sick leave
• Employee discounts and perks

• Tip: Make sure to highlight your experience with AI software engineering and LLM systems in your resume and cover letter.
• Tip: Be prepared to provide examples of your work and projects you have led, and explain your design and development process.
• Tip: Show your passion for AI and machine learning, and demonstrate your ability to learn and adapt quickly in a fast-paced environment.
• Tip: Showcase your collaborative skills and experience working with multidisciplinary teams, and highlight your ability to communicate complex technical concepts to non-technical stakeholders.
• Tip: Be prepared to discuss your experience with automated testing and deployment, and explain how you ensure the reliability and scalability of your solutions.
• Tip: Research FanDuel and the sports betting industry, and be prepared to discuss how your skills and experience align with the company's goals and mission.
• Tip: Be honest and transparent about your strengths and weaknesses, and demonstrate a willingness to learn and grow with the company.