HartleyCo
This range is provided by HartleyCo. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $250,000.00/yr Direct message the job poster from HartleyCo HeadHunter & Director | Trusted by YC Founders to Build Their Founding Teams | Facilitating Growth
San Francisco, CA | $150K-$225K + 0.10%-0.50% Equity | Visa Sponsorship Available Our client is an AI-first startup that’s reimagining a $900B industry by replacing outdated, pre-internet systems with high-performance AI agents.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, they’re 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, you’ll work side-by-side with the founding team to ship production systems at speed. You’ll 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 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 Qualifications
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 Tech stack
TypeScript, Node.js, Python, Next.js, Databricks, Astronomer, Temporal.io, Pydantic-AI, Redis Streams, PostgreSQL, ClickHouse, Apache Airflow, vector DBs, Claude, GPT-4, and more. This is a rare chance to be early in a well-funded, high-growth AI startup where your work directly shapes the company’s 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 you’re an engineer who thrives on building AI systems that change industries, we’d like to hear from you.
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$150,000.00/yr - $250,000.00/yr Direct message the job poster from HartleyCo HeadHunter & Director | Trusted by YC Founders to Build Their Founding Teams | Facilitating Growth
San Francisco, CA | $150K-$225K + 0.10%-0.50% Equity | Visa Sponsorship Available Our client is an AI-first startup that’s 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, they’re 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, you’ll work side-by-side with the founding team to ship production systems at speed. You’ll 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 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 Qualifications
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 Tech stack
TypeScript, Node.js, Python, Next.js, Databricks, Astronomer, Temporal.io, Pydantic-AI, Redis Streams, PostgreSQL, ClickHouse, Apache Airflow, vector DBs, Claude, GPT-4, and more. This is a rare chance to be early in a well-funded, high-growth AI startup where your work directly shapes the company’s 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 you’re an engineer who thrives on building AI systems that change industries, we’d like to hear from you.
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