1 день назад
Senior Software Engineer, Applied AI (IC)
175 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Applied AI (IC) (LLMs/Agent Platforms): Building reliable, scalable AI capabilities including agent orchestration, RAG services, evaluation tooling, and AI-powered software development workflows with an accent on backend systems, observability, safety, and production delivery. Focus on diagnosing agent behavior from execution traces, defining safe delegation boundaries, and shipping applied AI features from prototype to production.
Location: Remote within the United States; preference for candidates based in Atlanta. Must be authorized to work for any employer in the U.S.; employment visa sponsorship is not available.
Salary: $175,000–$185,000 per year
Company
is a North American Daily Fantasy Sports platform covering professional sports and esports.
What you will do
- Build the agent platform and internal tooling, including orchestration, tool calling, evaluation harnesses, prompt and version management, tracing, observability, and safety controls.
- Develop RAG, structured extraction, and production inference workflows.
- Embed AI into software development workflows such as code review assistance, test generation, incident support, and developer copilots.
- Ship applied AI features end to end, from prototyping and system design through model selection, rollout, monitoring, and iteration.
- Diagnose agent behavior from execution traces and assess AI adoption, failure modes, and tooling gaps across engineering teams.
- Set engineering standards and mentor engineers on reliability, evaluation, incident response, privacy, security, and critical review of AI-generated code.
Requirements
- 6+ years of professional software engineering experience or equivalent, including production systems delivery.
- Direct experience building LLM- or ML-powered features on an Applied AI or product AI team.
- Strong backend and system design skills covering APIs, distributed systems, queues or workflows, observability, and performance.
- Demonstrated judgment in scoping agent tasks, deciding what to delegate, and verifying agent output.
- Experience collaborating with product, design, data/ML, platform, and application engineering partners.
- Track record of mentoring peers and improving engineering quality.
Nice to have
- Experience building SDKs, internal frameworks, or developer tooling for other engineers.
- Practical experience with embeddings, search and retrieval, evaluation methods, and model monitoring.
- Experience building agents or assistants at scale.
- Familiarity with inference latency, cost, caching, vendor and model trade-offs, and deployment patterns.
Culture & Benefits
- Production-grade engineering standards with an emphasis on shipping and iteration.
- Evaluation, observability, and safety are treated as core product features.
- Medical, dental, and vision plans, plus a 401(k) with company match.
- Annual bonus, flexible PTO, paid parental leave, and disability benefits.
- Workplace flexibility, company equipment, in-person events, team outings, and career development opportunities.
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