Founding Engineer (New Grad, 0-2 Years)

True Talent Solutions Partners; San Francisco (CA); In loco; USD 160.000 - 300.000; Tempo pieno

Descrizione del lavoro

True Talent Solutions Partners is seeking an experienced software engineer to join an early-stage AI cybersecurity startup in San Francisco. You will own features end-to-end, collaborate with customers, and help shape the platform’s technical direction.

Responsibilities include building enterprise-grade features, ingesting high-volume telemetry, designing real-time detection, and training lightweight models to make fast judgments against behavioral baselines. Visa sponsorship available.

Competenze

• 0 to 5 years of software engineering experience, including internships, with backend or full-stack production work.
• Strong backend and systems fundamentals, ideally including distributed systems, infrastructure, or streaming pipelines.
• Experience shipping production systems and working in high-ownership engineering environments.
• Familiarity with Go or Rust, cloud infrastructure, real-time data systems, and enterprise integrations.
• Additional experience in applied ML, model fine-tuning, security engineering, red-teaming, or adversarial ML is valuable.
• Customer-facing engineering, quantitative engineering, or competitive programming experience is also relevant.

Mansioni

• Build and ship complete product features for enterprise customers.
• Develop data infrastructure to ingest high-volume telemetry from endpoint, network, identity, and model gateway systems.
• Design real-time detection and policy enforcement for emerging AI agent risks.
• Work with customers on proofs of concept and deployments, adapting and shipping features as needed.
• Train small models to make low-latency judgments against behavioral baselines.
• Test models and agents for prompt injection, tool misuse, data exfiltration, and scope drift.
• Help set the platform’s architecture and technical direction.

Conoscenze

Backend development

Distributed systems

Go or Rust

Cloud infrastructure

Real-time data

Security engineering

Customer-facing

Descrizione del lavoro

About the Role

Join the engineering team at an early-stage AI cybersecurity startup and help build a platform for monitoring and securing enterprise AI systems. You will own work end to end, collaborate closely with customers, and shape the product’s technical direction.

What You’ll Do

• Build and ship complete product features for enterprise customers.

• Develop data infrastructure to ingest high-volume telemetry from endpoint, network, identity, and model gateway systems.

• Design real-time detection and policy enforcement for emerging AI agent risks.

• Work with customers on proofs of concept and deployments, adapting and shipping features as needed.

• Train small models to make low-latency judgments against behavioral baselines.

• Test models and agents for prompt injection, tool misuse, data exfiltration, and scope drift.

• Help set the platform’s architecture and technical direction.

What We’re Looking For

• 0 to 5 years of software engineering experience, including internships, with backend or full-stack production work.

• Strong backend and systems fundamentals, ideally including distributed systems, infrastructure, or streaming pipelines.

• Experience shipping production systems and working in high-ownership engineering environments.

• Familiarity with Go or Rust, cloud infrastructure, real-time data systems, and enterprise integrations.

• Additional experience in applied ML, model fine-tuning, security engineering, red-teaming, or adversarial ML is valuable.

• Customer-facing engineering, quantitative engineering, or competitive programming experience is also relevant.

Compensation & Benefits

Base salary range: $160,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.