Software Engineer, Rust, Agent Runtime

About the role

Profound is building the foundational agentic layer for modern companies. Our Agent Runtime is the execution backbone that turns complex AI work into reliable, composable workflows. You will shape the core primitives, execution, scheduling, state, and streaming, that power intelligent systems at scale.

Responsibilities

• Build core workflow engine primitives used to orchestrate agents, tools, and dataflows
• Own the real-time control plane, including streaming events, reliable job orchestration, idempotency, and replay
• Ship high-leverage systems that turn prototypes into production-grade, scalable workflows
• Design and ship Rust-first backend services and clean APIs for creating, executing, and supervising graph or DAG workflows
• Build reliable job orchestration with multiple response modes, including blocking, streaming, and fire-and-forget, with durable state
• Strengthen tenant isolation, security, and access patterns across the platform
• Evolve schemas and repositories and own migrations, indexing, and query performance
• Instrument with meaningful telemetry and raise the bar on testing and operational excellence
• Partner closely with product, frontend, and data teams to deliver high-impact features

Requirements

Strong portfolio or GitHub showing backend or systems design depth

Proficient in Rust and comfortable owning services end-to-end in production

Solid with SQL and relational data modeling, with hands-on experience using PostgreSQL

Experience with distributed systems patterns including messaging or streaming, retries, idempotency, and backpressure

Familiar with caching and state systems such as Redis and real-time delivery using SSE or WebSockets

Strong grasp of API authentication and authorization, multi-tenancy, and security best practices

Pragmatic, collaborative, and product-minded, thriving in a fast, in-person environment

Experience building or operating workflow engines, schedulers, or agent runtimes

Experience with Postgres RLS and data governance at scale

Practical exposure to containerization, CI or CD, and cloud environments

Background integrating external AI or model providers and securing provider configurations

Experience working with Rust 2024, PostgreSQL, Redis, Kafka or NATS, containers, modern CI or CD, and real-time streaming to clients

Qualifications

On-site role based in our NYC office

Location: On-site in NYC

Benefits

Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process.

Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

Pay

The expected base salary range is $140,000 to $260,000. Comp may vary by location.

Schedule

This is an on-site role.