Senior Backend Engineer — AI Agent & Data Orchestration

People In AI; San Mateo (CA); Hybrid; USD 250,000 - 300,000; Full time

Job summary

People In AI in San Mateo is seeking a Senior Backend Engineer to build the infrastructure for an AI-native SaaS platform, with a focus on agent harnesses, orchestration, and production-grade systems.

You will own end-to-end development from prototype through deployment, working across data pipelines, geospatial and multimodal datasets, and collaborating with AI engineers to deliver reliable, scalable solutions for complex real-world problems.

Qualifications

• 5+ years of professional software engineering experience building complex applications or distributed systems.
• Strong Python engineering skills and production-quality software.
• Deep experience designing backend services, APIs, data models, and production systems.
• Experience building AI agent infrastructure, agent orchestration systems, LLM applications, or model-serving platforms.
• Reliability, state management, observability, latency, and failure handling in production systems.

Responsibilities

• Design and build production-grade backend services powering an AI-native SaaS platform.
• Build agent harnesses and execution infrastructure for sophisticated AI workflows.
• Develop systems for orchestrating multi-step agent interactions across models, tools, APIs, databases, and services.
• Design abstractions around tool calling, state management, retries, fallbacks, and failure recovery.
• Create agent runtimes supporting dynamic model-driven behavior and deterministic logic.
• Enhance infrastructure for evaluation, tracing, debugging, observability, and performance monitoring.
• Establish guardrails and execution patterns for reliable agentic workflows in production.
• Work on model routing, inference workflows, asynchronous execution, and long-running tasks.
• Collaborate with AI engineers to scale experimental capabilities into production systems.
• Build services supporting inference, optimization, and compute-heavy ML tasks.
• Design scalable data models for geospatial, regulatory, structured, unstructured, and multimodal data.
• Develop data ingestion/orchestration pipelines to serve agents and models.
• Develop reproducible deployment workflows and IaC practices.
• Own new technical capabilities end to end from prototype to production deployment.
• Help shape engineering patterns and architectural decisions as the platform scales.

Skills

Python

Backend engineering

Distributed systems

AI agent infrastructure

Reliability & observability

Education

Bachelor's degree in Computer Science or equivalent

Tools

APIs

Data pipelines

SQL/NoSQL

Job description

People In AI in San Mateo is seeking a Senior Backend Engineer to build the infrastructure for an AI-native SaaS platform, with a focus on agent harnesses, orchestration, and production-grade systems.

You will own end-to-end development from prototype through deployment, working across data pipelines, geospatial and multimodal datasets, and collaborating with AI engineers to deliver reliable, scalable solutions for complex real-world problems.