AI Platform Engineer - Infrastructure
Visa Sponsorship
Relocation
AI Summary
AI-first startup seeking hands-on AI Platform Engineer to design and build infrastructure for high-performance AI agents. Work side-by-side with the founding team to ship production systems at speed.
Key Highlights
Design and build the backbone of the platform - infrastructure that enables one person to deliver the output of thousands
Evolving proprietary context engineering platform, developing evaluation frameworks, architecting ML models, and building growth-focused AI tools
Working closely with forward deployed engineers to ensure business impact
Technical Skills Required
Benefits & Perks
$150K-$225K annual salary
0.10%-0.50% Equity
Visa Sponsorship Available
Relocation assistance provided
Job Description
AI Platform Engineer - Infrastructure
San Francisco, CA | $150K-$225K + 0.10%-0.50% Equity | Visa Sponsorship Available
Our client is an AI-first startup thats reimagining a $900B industry by replacing outdated, pre-internet systems with high-performance AI agents. Fresh off an $8M seed round from top-tier investors, theyre looking for a hands-on AI Platform Engineer to design and build the backbone of their platform - infrastructure that enables one person to deliver the output of thousands.
In this role, youll work side-by-side with the founding team to ship production systems at speed. Youll evolve their proprietary context engineering platform, develop evaluation frameworks, architect ML models, and build growth-focused AI tools. This is a role for someone who thrives in high-intensity environments, takes ownership, and measures success by shipped product, not planning decks.
Key Responsibilities
- Enhance their in-house AI Grid platform combining ETL pipelines with LLM orchestration
- Build evaluation systems using human-annotated datasets for model fine-tuning (SFT/RL)
- Develop ML models for reasoning engines, load balancing, and market-making systems
- Architect robust data pipelines feeding multiple destinations (vector DBs, ML platforms, analytics systems)
- Implement MCP servers to connect agents with tools and persistent memory
- Create voice AI systems for outbound, follow-up, and customer service use cases
- Integrate payment providers and financial systems directly into the platform
- Work closely with forward deployed engineers to ensure business impact
- Strong background in distributed systems, AI agents, and modern data engineering
- Proven experience in both TypeScript/Node.js and Python
- Track record building production ML infrastructure, ETL/ELT workflows, and orchestration systems
- Experience with MCP protocols, vector DBs, and retrieval-augmented generation
- Familiarity with voice AI architecture, payment integrations, and real-time processing systems
- A bias toward action - you ship fast, iterate, and improve continuously
Why Join
This is a rare chance to be early in a well-funded, high-growth AI startup where your work directly shapes the companys technical foundation. The role is based in San Francisco, with relocation assistance provided, and requires working in-office 5.5 days a week alongside an exceptional founding team.
If youre an engineer who thrives on building AI systems that change industries, wed like to hear from you.