Founding Engineer, Early Career

true-talent-solutions-partners; San Francisco (CA); On-site; USD 160,000 - 300,000; Full time

Job summary

true-talent-solutions-partners in San Francisco, CA seeks a software engineer to own platform components from ingestion to real-time detection. You will work closely with enterprise customers, shipping features, building pipelines, and refining security-focused capabilities.

The role emphasizes Go or Rust, cloud infra, and real-time data systems, with 0–5 years of startup experience and a strong focus on scalable backend work. On-site in SF, visa sponsorship available.

Qualifications

• Experience in backend or full-stack production deployments.
• Strong understanding of distributed systems and data pipelines.
• Interest or experience in security, ML, or AI tool integration.

Responsibilities

• Build and ship end-to-end features for enterprise deployments.
• Develop data pipelines ingesting telemetry from multiple sources.
• Design real-time detection and policy enforcement for AI risks.
• Collaborate with customers during evaluations and deployments.
• Train and evaluate small models for low-latency decisions.
• Test models and agents for prompt injection and data exposure.
• Contribute to platform architecture and technical direction.

Skills

Backend engineering

Distributed systems

Go or Rust

Cloud infrastructure

Customer-facing engineering

Tools

Go

Rust

AWS/GCP

Job description

ABOUT THE ROLE

Join a founding engineering team at an early-stage cybersecurity startup building infrastructure to monitor and secure enterprise AI systems. You will own work across the platform, from data ingestion to real-time detection, and help shape its technical direction while working closely with enterprise customers.

WHAT YOU'LL DO

• Build and ship end-to-end features for enterprise deployments, iterating quickly as customer needs emerge.
• Develop data pipelines that ingest high-volume telemetry from endpoint, network, identity, and AI systems.
• Design real-time detection and policy enforcement for emerging risks in AI agents.
• Work directly with customers during evaluations and deployments, including delivering features during active engagements.
• Train and evaluate small models for low-latency decisions based on behavioral patterns.
• Test models and agents for prompt injection, tool misuse, data exposure, and scope drift.
• Contribute to platform 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 deployment experience.
• Strong backend and systems fundamentals, including distributed systems, infrastructure, or streaming data pipelines.
• Experience at a startup, along with evidence of shipping production systems in high-caliber engineering environments.
• Experience with Go or Rust, cloud infrastructure, real-time data systems, or security integrations.
• Interest or experience in cybersecurity, security engineering, adversarial testing, applied machine learning, model fine-tuning, or post-training.
• Customer-facing engineering experience, quantitative problem-solving, or competitive programming experience is a plus.

COMPENSATION & BENEFITS

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

LOCATION

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