Staff Backend Engineer (AI Agent Infrastructure)

Location: San Francisco, CA — hybrid with onsite work 4 days per week

Salary: $250K–$280K plus equity

Company

hirify.global builds open-source enterprise data connectivity infrastructure with more than 700 connectors, supporting analytics and AI applications.

What you will do

• Explore new product opportunities at the intersection of data, AI, and developer infrastructure through focused technical experiments and prototypes.
• Build hirify.global MCP infrastructure enabling AI agents to configure hirify.global, troubleshoot syncs, and access connected data sources and warehouses.
• Design and operate semantic search, retrieval, semantic model, and SaaS sandbox systems for enterprise data and agent development.
• Design and implement reliable, observable backend systems, APIs, asynchronous workflows, and infrastructure with robust failure handling.
• Take promising prototypes into production and improve them using customer feedback, incidents, and real-world usage.
• Lead architecture and technical decisions across teams, aligning interfaces, dependencies, risks, and tradeoffs.

Requirements

• 10+ years of software engineering experience building and operating production systems.
• Strong backend engineering fundamentals and experience designing distributed systems.
• Experience with complex systems involving APIs, asynchronous workflows, concurrency, queues, state, retries, or distributed execution.
• Hands-on experience building and shipping AI-powered products using LLMs, agents, RAG, tool calling, MCP, or similar technologies.
• Experience with orchestration systems, workflow engines, developer platforms, or infrastructure products.
• Strong system design skills, including reasoning about reliability, scale, observability, and failure modes.
• Demonstrated ability to lead technical direction across teams and influence architecture and engineering decisions.
• Ability to move quickly from prototype to production without sacrificing engineering quality, with strong product instincts in ambiguous 0-to-1 environments.
• Exceptional written communication, ownership, and bias toward shipping.

Nice to have

• Experience operating AI agents in production, including debugging, observability, and evaluation.
• Experience with agent infrastructure, agent platforms, evaluation systems, retrieval systems, vector search, or semantic models.
• Experience building developer tools, platform infrastructure, or third-party SaaS API integrations.
• Experience with Kafka, Iceberg, Postgres, Spark, or modern data warehouses.

Culture & Benefits

• Hybrid, collaborative in-person culture based in the San Francisco office.
• Flexible PTO with an encouragement of at least 25 days off annually.
• 16 weeks of fully paid parental leave for all parents.
• Medical, dental, and vision coverage for employees and dependents, plus a 401(k) plan.
• Professional development budget, conference sponsorship, book reimbursement, commuter benefits, and monthly internet reimbursement.
• Breakfast and lunch provided in the San Francisco office.

Hiring process

• Applications from agencies and recruiting firms are not accepted; unsolicited resumes will not be considered.
• Reasonable accommodations are available for qualified applicants with disabilities during the application process.