AI Software Engineer

Job Title: AI Software Engineer

Compensation: $180,000 - $250,000 significant equity

Location: Full-time onsite in San Francisco

This high-growth, venture-backed startup is rebuilding the foundation of a massive, legacy industry using fully autonomous, multimodal AI agents. Focused on a $300B market, the company is automating complex, real-world workflows end-to-end with a combination of computer vision, LLM reasoning, and scalable backend infrastructure. Backed by top-tier investors, the company has already reached high seven-figure ARR and is growing 50% month-over-month, with enterprise customers including globally recognized technology companies.

About the Role:

This is a high-impact opportunity for a backend engineer to join as an early member of a deeply technical, high-performance team. You’ll work on the core systems powering autonomous AI agents in production, owning infrastructure, system design, and scaling challenges from day one. The environment is highly agentic, with strong ownership and minimal oversight, offering a clear path to leadership as the team grows.

What You’ll Do:

• Build and scale backend systems powering autonomous AI workflows
• Design and own APIs, databases, and distributed system architecture
• Work across multimodal AI systems, including computer vision, OCR, telematics, and LLM-based reasoning
• Ship production code immediately and take full ownership of deployed systems
• Scale infrastructure to handle real-world enterprise workloads and improve system throughput
• Define technical direction and drive projects end-to-end in a highly autonomous environment
• Collaborate closely with senior engineers and technical leadership

What You’ll Bring:

• Ample backend engineering experience (Python preferred)
• Strong computer science fundamentals with clear signals of excellence
• Experience in high-performance environments (e.g. HFT, top startups, or strong big tech teams)
• Track record of building and shipping production systems
• Experience with distributed systems, APIs, and cloud infrastructure (AWS or GCP)
• Familiarity with Docker, Postgres, and modern data systems (e.g. vector databases)
• High agency with a strong builder mindset (founder experience, side projects, or rapid growth)

Tech Stack:

• Python
• Distributed systems and backend infrastructure
• Cloud: AWS or GCP
• Databases: Postgres, vector databases
• Containerization: Docker
• Multimodal AI systems (CV, OCR, LLMs)

Why Join?

• Join as an early engineer at a company with significant upside and strong product-market fit
• Work on technically complex problems at the intersection of AI, infrastructure, and real-world systems
• Be part of a high-talent-density team with backgrounds in quant, AI, and top-tier engineering environments
• Own critical systems, not incremental features
• Operate in a fast-moving, high-intensity environment with real impact on production systems

About People In AI:

People In AI connects top-tier talent with the most ambitious companies in artificial intelligence. We work with founders, VCs, and engineering leaders to build world-class teams shaping the future of machine learning and AI infrastructure.