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A leading startup is seeking an AI Engineer to join their remote team. The role involves designing and implementing AI systems, collaborating with founding members to shape the product and culture. Ideal candidates have strong ML engineering backgrounds and a passion for applied AI. This is an exciting opportunity to contribute to a transformative platform in enterprise environments.
Location: Remote (California preferred, NY considered)
Company Stage of Funding: Seed (Backed by top VCs including Acrew and Emerson Collective)
Office Type: Remote
Salary: $160,000 – $220,000 + Competitive Equity
We are partnering with a stealth-mode, venture-backed startup founded by repeat technical entrepreneurs with a vision to transform customer operations using generative AI. The company has recently closed a $4M seed round led by top-tier venture firms and is building a category-defining platform for AI agents in enterprise environments.
The founders bring extensive leadership experience from leading tech companies and successful startups. They have previously scaled teams and shipped high-impact AI/ML products at companies like BetterUp and Thoughtful AI. This is an exceptional opportunity to join at the ground floor and help build both product and company alongside deeply experienced and thoughtful operators.
As one of the first engineering hires, you will work closely with the founding team to design, build, and scale the AI agent infrastructure from scratch. Your contributions will directly shape the product and culture of the company.
Architect and implement AI agent orchestration systems tailored to enterprise workflows
Design RAG (Retrieval-Augmented Generation) pipelines for integrating and querying internal knowledge bases
Develop contextual memory systems and knowledge graphs for continuous learning
Implement AI observability and performance monitoring frameworks
Create predictive models for customer health, churn, and upsell opportunities
Build natural language understanding features like sentiment and intent detection
Design closed-loop feedback systems to improve AI performance based on usage data
We’re looking for engineers with a passion for applied AI who have a balanced mix of startup agility and corporate-scale experience.
5–7 years of experience in production ML engineering roles
Proven success at both startups and larger tech organizations
Track record of promotions or demonstrated career growth
Deep understanding of LLM architectures, RAG systems, and AI deployment pipelines
Strong Python experience; familiarity with FastAPI, SQLModel, Celery, PostgreSQL (with pgvector), and Redis
Frontend familiarity with React and Vite is a bonus
Experience working with AI tooling like LangGraph, Langfuse, or Agno is a plus
2+ years of experience in a startup or founder environment
2+ years in a corporate/enterprise software engineering setting
2+ years working specifically in applied AI, including LLM-based systems or NLP projects
Bachelor’s or Master’s degree in Computer Science or related field, or equivalent industry experience
Candidates currently based in California are strongly preferred; those in New York will also be considered
Salary: $160,000 – $220,000
Equity: Competitive early-stage equity package
Work Environment: Remote-first with preference for California-based candidates
Visa: Visa sponsorship is not available at this time
Position Type: Full-time
Team Structure: Direct collaboration with the founding team, including the Head of Engineering