Senior Software Engineer, Applied AI (IC)

Role overview Join an Applied AI engineering team that turns modern ML and large language models into reliable, scalable product capabilities. This is a senior individual contributor role focused on building an internal agent platform, embedding AI across the software development lifecycle, and shaping how AI-powered experiences get built over time.

Responsibilities - Design and ship primitives for the agent platform, including orchestration, tool/function calling, evaluation harnesses, prompt and version management, tracing, observability, and safety guardrails. - Embed AI into day-to-day engineering workflows such as code review assist, test generation, incident support, and developer copilots, with clear quality gates and measurable impact. - Take AI features from prototype through production, covering data needs, system design, model or vendor selection, rollout, monitoring, and iteration. - Diagnose agent behavior using traces, debug workflows the way you'd debug a distributed system, and verify AI-generated output rather than rubber-stamp it. - Identify where AI adoption is succeeding or stalling across teams and build what's missing, teach what's already built, and advocate for adoption. - Mentor peers and set engineering standards for reliability, evaluation, incident response, privacy, and security in AI-assisted work.

Requirements - 6+ years of professional software engineering experience with a track record of shipping production systems. - Direct experience on an Applied AI or product AI team building LLM- or ML-powered features, ideally including agents and tooling. - Sound judgment about what to delegate to agents, how to scope their context, and how to verify their output before trusting it. - Strong backend and system design skills across APIs, distributed systems, queues and workflows, observability, and performance. - Comfort navigating ambiguity and partnering cross-functionally with product, design, data/ML, and platform teams. - History of mentoring engineers and raising engineering quality, especially around critical review of AI-assisted code.

Nice to have - Experience building internal platforms such as SDKs, frameworks, or developer tooling. - Familiarity with embeddings, retrieval, evaluation methodology, model monitoring, and inference tradeoffs around latency, cost, and caching.

Benefits and work setup - Salary range of $220,000 to $250,000, depending on role, level, and work location. - Subsidized medical, dental, and vision plans; 401(k) with company match; annual bonus. - Flexible PTO with two weeks strongly encouraged, plus 16-week paid parental leave and disability benefits. - Remote-first work setup within the U.S., with a preference for candidates based in Atlanta; company-provided equipment and modern work schedules.