Founding Software Engineer

Company: Ovise

Location: New York City, New York

Posted on: June 20

Founding Engineer (AI)

Location: NYC (Hybrid)

Type: Full-time

Compensation: $160k$210k salary + meaningful equity

Backed by: Top-tier VCs and world-class founders from Google, Meta, OpenAI, and Stanford

About the Company:

This early-stage, venture-backed startup is operating at the intersection of AI, design, and productivity. Their mission is to build intelligent systems that amplify human creativity and decision-making. Founded by proven operators from some of the worlds leading tech companies and backed by top-tier investors, the team is reimagining how people interact with AI, starting from first principles.

The Opportunity:

The company is hiring a Founding Engineer to work directly with the founding team to define and build core product, infrastructure, and systems. This role offers massive ownership, technical influence, and a chance to shape both the product and company from day one.

It's an ideal position for a builder who thrives in ambiguity, moves fast, and wants to help define a category-defining product in the age of AI.

Responsibilities:

• Architect and ship scalable, AI-powered products from the ground up
• Apply state-of-the-art techniques in LLMs, embeddings, RAG, and agentic systems
• Collaborate directly with the CEO, design, and go-to-market teams to rapidly iterate on product
• Own key technical decisions across the full stack, including infrastructure and model integration
• Define and evolve the engineering culture, practices, and team over time

Tech Stack:

• Languages: TypeScript, Python
• Frameworks: Next.js, React, FastAPI
• AI/ML: OpenAI API, LangChain, Pinecone/Weaviate, Hugging Face, fine-tuning, RAG
• Infrastructure: AWS/GCP, Docker, Postgres, Vercel
• Tooling: GitHub, Linear, Notion, Slack, Retool

Ideal Candidate:

• 4+ years of full-stack or backend experience, ideally in a startup or fast-paced environment
• Strong familiarity with the modern AI/ML landscape (LLMs, embeddings, NLP workflows)
• Able to operate across the stack and thrive in ambiguity
• Strong product sense and attention to user experience
• Fast-moving, iterative, and low-ego
• Motivated to help build not just a product, but the company itself

Bonus Qualifications

• Experience with vector databases, agent frameworks, or fine-tuning custom models
• Previous work in 01 environments
• Contributions to open-source AI projects or a strong online technical presence (e.g., blog, GitHub, X/Twitter)

What They Offer

• Competitive salary ($160k$210k) + meaningful early-stage equity
• Modern hardware and productivity tools
• Hybrid flexibility with a collaborative NYC HQ
• A high-impact, low-ego team culture
• A rare opportunity to help define a company at the frontier of AI