Senior Software Engineer (San Francisco)
People In AI, San Francisco, CA, United States
Job Title:
Senior Software Engineer, AI
Compensation:
$200,000 - $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.
Senior Software Engineer, AI
Compensation:
$200,000 - $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.