Senior Software Engineer AI
Senior Software Engineer AI
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1 Vacancy
Job Description
About Clay
Clay is a creative tool for growth. Our mission is to help businesses grow without huge investments in tooling or manual labor. Were already helping over 100000 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. Were looking for sharp lowego people to help us turn every businesss creative ideas into a reality. Read this article to see why Clay is an amazing place to work and explore 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)
Were growing a lot 6x YoY last year and 10x YoY the two years before that)
Incredible culture (our customers keep applying to work here)
Inperson work (beautiful office space in Flatiron)
Wellresourced (raised a Series B expansion in January 2025 from investors like Sequoia and Meritech)
Software Engineering AI @ Clay
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 cuttingedge applications of LLMs in the GTM field.
What Youll Do
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 selfhosted LLMs with feedback loops to finetune 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
What Youll Bring
Strong product intuition the ability to think broadly and crossfunctionally about innovative LLMpowered 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 LLMbased 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
Uptodate 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
Previous experience with applications of instruction tuning reinforcement learning from human feedback (RLHF) and finetuning (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 openminded.
Experience working with systems & data at scale. May be building largescale highperformance 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
Life @ Clay
Based out of a central office on 19th Street in Manhattans Flatiron District. We love the energy of inperson 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 80100 therapy coverage)
Visa sponsorship: We get it its an arduous process but were not scared of it
Paid time off: We expect team members to take at least 3 weeks fullydisconnected 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
Learn more about Clay and what its like to work with us right here!
Required Experience:
Senior IC
Employment Type
Full-Time
