Senior Software Engineer, AI

Clay is a creative tool for growth. Our mission is to help businesses grow  — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.
We believe that modern GTM teams win by finding GTM alpha—a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha.

Why is Clay the best place to work in New York?

• Customers love the product (100K+ users and growing)

• We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)

• Incredible culture (our customers keep applying to work here)

• In-person work (beautiful office space in Flatiron)

• Well-resourced (raised a Series B expansion in January 2025 from investors like Sequoia and Meritech)

Read more about why people love working at Clay here and explore our wall of love to learn more about the product.

The AI team at Clay is responsible for Claygent, an agentic researcher equipped with a variety of tools to fetch information from the web as well as our internal data sources. As a Software Engineer on the AI team, you will build on the capabilities of our agent and imagine and implement cutting-edge applications of LLMs in the GTM field.

• Work across the entire product lifecycle from conceptualization through production to bring and refine AI experiences to our users

• Implement tools and processes to monitor model behavior, performance, and alignment with user needs.

• Build AI systems using 3rd party or self-hosted LLMs with feedback loops to fine-tune models for optimal performance

• Expand the capabilities of Claygent to new use cases and build systems to understand our top use cases across the user base

• Strong product intuition — the ability to think broadly and cross-functionally about innovative LLM-powered capabilities and product experiences

• Have 0 to 1 experience (or a desire to work on a greenfield project) with a bias towards shipping and learning while balancing a high quality bar

• Experience with LLM-based reasoning engines, memory modules, evaluation and simulation environments

• Experience managing production AI/ML workloads and know the infrastructure, telemetry, CI/CD, and monitoring needed to support them

• Up-to-date knowledge of the latest models, paradigms and frameworks in the the LLM space

• Proficiency in Python and Typescript

• 4+ years of experience

• A strong vision for autonomous agents in the GTM space

• Previous experience with applications of instruction tuning, reinforcement learning from human feedback (RLHF), and fine-tuning (e.g. LoRA) to improve LLMs for different use cases.

• An infrastructure or platform background to set the foundation for future AI/ML hires to build off of

• Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded.

• Experience working with systems & data at scale. May be building large-scale high-performance data pipelines, event ingestion systems, or generally working with larger production systems

• Experience with our current tech stack:

  • React, Typescript, Python

  • AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch

  • IaC: Terraform

  • Deployment tools: CircleCI, Netlify, Playwright

  • Observability tools: Cloudwatch, Datadog, Mezmo

Based out of a central office on 19th Street in Manhattan's Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed.

• Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do.

• Health Insurance: Fully covered, high-quality medical, dental, and vision plans for NYC Claymates. Includes options covering 70–80% of out-of-network therapy after a deductible is met. Insurance options for remote Claymates may vary by location.

• Visa sponsorship: Visa sponsorship for US-based candidates (e.g., student to work visas). We get it - it's an arduous process, but we're not scared of it. Sponsorship for candidates outside of the US may vary.

• Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that.

• Free food: Free meals in office every day and unlimited snacks.

• Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave for NYC Claymates. Support for remote Claymates may vary by location.

Learn more about Clay and what it’s like to work with us right here!