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’re looking for sharp, low-ego people to help us turn every business's creative ideas into a reality.  Check out our wall of love to learn more about the product.

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

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

• We’re growing a lot (10x YoY for the past two years) 

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

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

• Well-resourced (raised a Series B in June 2024 from investors like Sequoia and Meritech)

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.

What You'll Do

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

What You'll Bring

• Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high quality bar

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

• 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

Nice to Haves

• A strong vision for autonomous agents in the GTM space

• Application of instruction tuning, reinforcement learning from human feedback (RLHF), and parameter efficient fine tuning such as p-tuning, adaptors, LoRA, and so on to improve LLMs for different use cases.

• Infrastructure or platform background to build the foundations for other AI/ML hires to come in and be productive

Representative Projects

• Build AI-powered growth playbooks, surfacing strategic account insights and outbound campaign ideas based on the customer’s ICP

• Implement LLM observability so that we can debug and trace the reasoning of our agents

• Implement a meta-prompting tool that improves the user's prompt on a desired task for them

• Implement a prompt playground that allows users to compare prompts and models

• Use multimodal LLMs to generate sales content (outreach, pitch decks) in the form of slides, videos, audio, etc.

• Build rigorous evaluation sets and tests for core LLM workflows

• Use LLMs for named entity recognition to convert natural language queries to structured database queries

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 funded, high quality health, dental & vision coverage (including 80-100% therapy coverage)

• Visa sponsorship: We get it - it's an arduous process, but we're not scared of it

• 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 lunch: Lunch is provided in office every day

• Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave

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