4 hours ago
Atlanta, GA, USAStaff+
Base Salary
$159k - $209k/yr
Responsibilities
- Drive integration of the governed agent layer into the data engineering software development lifecycle.
- Build agentic engineering capabilities including skills, specifications, context scaffolding, shared memory, progressive disclosure, and governed data access.
- Define continual learning, post-run review, and agent self-improvement processes that produce reviewable pull requests.
- Advance the strategy-optimization engine into a product capability tied to business metrics.
- Define optimization action spaces, objectives, utility weights, guardrails, risk tolerances, deterministic scorers, experiment definitions, and holdout practices.
- Expand optimization into promotional spend, module placement and ranking, and search relevance.
- Mature the offline simulation environment using synthetic personas based on real behavioral data.
- Establish agreement between simulated and live outcomes and drive simulation adoption in experiment prioritization.
- Act as technical lead by decomposing strategy into specifications, skills, and tickets owned by individual engineers.
- Define the working model between humans and AI agents and raise engineering quality through code, design, and reusable-pattern reviews.
- Mentor engineers across US and Romania pods and represent the team with partner organizations, vendors, and external delivery partners.
Requirements
- 8+ years of software, machine learning, or AI engineering experience, including technical leadership of a system built by other engineers.
- Experience translating ambiguous business problems into measurable objectives, metrics, and guardrails with product partners.
- Breadth to contribute to technical design reviews, product prioritization, and senior-stakeholder discussions.
- Experience decomposing strategic direction into autonomous engineering workstreams.
- Expert-level production Python, including typing, testing, packaging, and performance awareness.
- Hands-on experience using agentic coding harnesses and designing agent skills, context, tool access, and memory.
- Production LLM application experience with agent orchestration, tool and function calling, structured output handling, and retrieval.
- Strong optimization and experimentation experience, including strategy-space search, deterministic scoring, offline/online metric alignment, holdout discipline, and A/B design and interpretation.
- Cloud-native engineering experience on AWS and hands-on experience with a modern data platform such as Databricks.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent industry experience.
- Knowledge of sports or experience in a heavily regulated industry is a plus.
Benefits
- Health plans, including options as low as $0 per paycheck, with fertility and family-planning, mental-health, and fitness programs.
- Paid time off, sick leave, and 14 paid company holidays.
- Annual bonus and long-term incentive opportunities based on performance.
- 401(k) with up to a 5% match.
- Commuter benefits, pet insurance, and other FanDuel Total Rewards benefits.
- Medical, vision, dental, life, and disability insurance may be available.
- The role is listed as hybrid.
Categories
About FanDuel
FanDuel builds consumer sports wagering and gaming products in North America, including FanDuel Sportsbook, daily fantasy sports, FanDuel Casino, and horse-racing wagering, plus the FanDuel TV/TV+ media platforms. It earns revenue from consumer bets, fantasy entry fees, and gaming operations, and is available across the U.S., Canada, and Puerto Rico. Founded in 2009 and headquartered in New York, it is a subsidiary of Flutter Entertainment (NYSE: FLUT).