Senior Software Engineer, Applied AI

PrizePicks

PrizePicks, a Daily Fantasy Sports platform, seeking senior engineer to build reliable applied AI capabilities. Develop agent platforms and operationalize AI across the software development lifecycle.

Posted 8/18/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $175,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying AI-driven solutions, with a strong focus on system design, agent-driven development, and collaboration across product, design, and data/ML teams. Proven ability to mentor engineers and establish best practices for AI development and reliability.

Highest-signal resume keywords

Applied AI Project OwnershipBackend And System DesignAgent-Driven DevelopmentAPIs And Distributed SystemsMentoring And Engineering Quality Improvement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringApplied AILLM DevelopmentSystem DesignTask DelegationOutput VerificationPerformance OptimizationModel MonitoringInference ConstraintsDeployment Patterns

Soft Skills

JudgmentNavigating AmbiguityCoachingCollaboration

Tools & Technologies

APIsDistributed SystemsObservability ToolsEvaluation MethodologiesAI AgentsSearch/Retrieval

Industry Keywords

AI DevelopmentEngineering PracticesIncident ResponsePrivacy/SecurityProduct AI

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Build the agent platform and tooling, including orchestration, tool/function calling, evaluation harnesses, prompt/version management, tracing/observability, and safety/guardrails
Support retrieval-augmented generation (RAG), structured extraction, and production inference workflows
Work with application engineering teams to embed AI into software development workflows such as code review assistance, test generation, incident support, and developer copilots
Decide what to delegate to agents versus retain as human work, scope agent tasks, and adapt the boundary as tooling maturity changes
Diagnose agent behavior from traces, intermediate steps, inputs, and failure points
Verify AI-generated output and tests before trusting or deploying them
Own applied AI projects from prototype through production, including data needs, system design, model/vendor selection, rollout, monitoring, and iteration
Partner with product, design, and data/ML stakeholders to deliver customer-facing outcomes
Assess AI adoption across teams, identify bottlenecks and failure modes, build missing capabilities, teach existing tools, and advocate for adoption
Establish engineering practices for reliability, evaluation, incident response, privacy/security, and AI development
Coach engineers through design reviews, pairing, and pragmatic technical leadership
Mentor peers and improve organization-wide engineering quality

Requirements

What you’ll need

6+ years of professional software engineering experience, including shipping production systems
Direct experience on an Applied AI or product AI team building LLM- or ML-powered features
Demonstrated judgment in agent-driven development, including task delegation, agent scoping/context, and output verification
Strong backend and system design skills
Experience with APIs, distributed systems, queues/workflows, observability, and performance
Ability to navigate ambiguity and drive outcomes with product, design, data/ML, and platform partners
Track record of mentoring peers and improving engineering quality
Authorization to work for any employer in the U.S.; employment visa sponsorship is unavailable
Experience with platform capabilities for engineers, embeddings, search/retrieval, evaluation methodologies, model monitoring, AI agents/assistants at scale, inference constraints, vendor/model tradeoffs, and deployment patterns are nice to have

Benefits

Comp & perks

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Annual bonus
Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
Generous paid leave programs, including 16-week paid parental leave and disability benefits
Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
Company-wide in-person events and team outings
Lifestyle enhancement program
Company equipment provided (Windows & Mac options)
Annual performance reviews with opportunities for growth and career development