Locations: Hybrid – San Francisco, CA (4 days in-person, Fridays remote) | New York, NY (remote until office opens, then 4 days in-person)
Compensation: $200K–$245K + meaningful equity
Join a fast-growing, profitable AI-first startup building custom generative AI solutions for enterprise clients. You’ll work across end-to-end product development , shipping AI applications that impact multiple companies and industries. By your second project, you’ll have delivered more LLM applications than most AI engineers experience in a lifetime.
This is a high-impact, IC-focused role for senior engineers (10+ years), including former founders or tech leads, who thrive in fast-paced, ambiguous environments and enjoy hands-on coding while influencing product strategy and engineering culture.
Design, develop, and deploy custom AI solutions for enterprise clients, ensuring scalability and robustness.
Lead projects from requirements to deployment , collaborating with customers and internal engineers.
Shape engineering practices, culture, and technical strategy from day one.
Work across multiple industries and AI use cases: e.g., automating call centers with AI, AI content moderation systems, and more.
Contribute to internal tools and frameworks (LangChain, Langsmith, Pinecone, ChromaDB, OpenPipe) while learning rapidly from diverse projects.
Seniority: 10+ years of experience; previous leadership or staff-level experience preferred.
Technical Skills:
Strong software engineering proficiency across multiple languages.
Experience building highly technical products for engineers .
End-to-end ownership (0→1 product development).
Soft Skills:
Comfortable engaging with clients and understanding their needs.
Startup-ready, self-motivated, and thrives in ambiguity.
Interest or experience in generative AI.
Miscellaneous:
IC-focused, hands-on coding in a collaborative environment.
Comfortable working 4 days in-office in SF or NYC.
Work with veteran engineers and former founders delivering real-world AI solutions.
Gain exposure to applied generative AI across multiple industries .
Be part of a profitable, engineering-first startup with rapid revenue growth and potential exit opportunities.
Hands-on experience shaping engineering culture, processes, and technical practices from day one.
Tech stack varies per client; experience with LangChain, Langsmith, Pinecone, ChromaDB, OpenPipe , and LLM applications is a plus.
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