Software Engineer, Applied AI
Clay - New York City Metropolitan Area
Hiring: Software Engineer, Applied AI Company: Clay Location: New York City Metropolitan Area Job Posted Time: 2026-09-10 08:36:28 Employment Type: Hybrid Target Skills & Keywords : AWS, Aurora, ClickHouse, Datadog, ECS, Fargate, Fine-tuning, LLM, Lambda, OpenSearch, PostgreSQL, Python, RAG, React, Redis, Slack, Terraform, TypeScript About the job Required Skills: •Depending on the team, you might work on: •Design and iterate on agent behavior across real GTM workflows. For example, sourcing a Total Addressable Market (TAM) list, which in practice means navigating ambiguous Ideal Customer Profile (ICP) definitions, reconciling conflicting signals across data sources, and making judgment calls that experienced analysts spend real time on. •Map manual, multi-step workflows that GTM teams do today and turn them into agent-driven flows that are as good as, or better than, a human doing it by hand. •Build and run evals that measure whether an agent actually completed the task correctly - not just whether the output looked plausible - and use them to catch regressions and failure modes. •Analyze real failures in production and systematically improve robustness. •Interface directly with product to take agent flows from early prototype through closed beta and into general availability, and help define what "good" looks like for each one. •Build the core agent harness that other teams build on top of, including memory systems, tool infrastructure, and retrieval architecture •Improve agent performance through prompting strategies, tool-use design, and context construction Qualifications: •Strong backend fundamentals in APIs, databases, distributed systems. •A systems-and-outcomes mindset. You care about whether the product actually works for users, not just about model metrics in isolation •Comfort debugging messy, real-world failures and a bias toward shipping and iterating quickly in a space where best practices are still being figured out •Operational familiarity with Clay's stack: React, TypeScript, Python, AWS (Aurora/Postgres, ECS/Fargate, Lambda, OpenSearch, Clickhouse, Elasticache/Redis), Terraform, Datadog •A growth mindset - we're building a team that's curious, open-minded, and happy to invest in each other's learning, not just their own Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!