Agentic Software Engineer
Remote · USJobPosted 2w agoStill listed 2 days ago
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At a glance
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Job overview
The role involves using AI agents for debugging and code generation, building automated test pipelines, designing high‑performance runtime components, collaborating across product and AI teams, prototyping safe AI‑software interfaces, and driving end‑to‑end projects while working primarily in‑office in San Francisco.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
What You’ll Do
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Use AI agents as integral tools for exploration, debugging, and code generation—moving fast through iterative prototyping and testing to find what works best.
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Test - build automated test pipelines and tools to ensure that AI generated outputs meet functional and performance standards.
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Design and implement core runtime components in a highly performant and secure environment.
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Collaborate across product, systems, and AI initiatives to expand runtime capabilities—enabling deeper visibility, control, and intelligence within running workloads.
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Prototype and productionize interfaces where AI systems interact safely with low-level software (e.g., introspection hooks, event streams, telemetry).
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Drive projects end-to-end: design, build, test, deploy, measure, and iterate.
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Contribute to our engineering culture of curiosity, rigor, and technical excellence.
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Work primarily in-office from our South Park / SOMA location, collaborating closely with a small, deeply technical team.
What You’ll Bring
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You have 1–5 years of software engineering experience—or you’re a strong recent graduate—ideally with exposure to systems or runtime development like compilers, instrumentation, observability, distributed systems, or optimizing performance-critical code paths
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Strong proficiency in Go and/or TypeScript, with a deep understanding of performance, concurrency, and systems fundamentals.
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Comfortable using AI and agentic systems to move fast—balancing experimentation with sound engineering judgment on when to trust the tools and when to dig in yourself.
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Experience deploying production software in cloud-native environments (Docker, Kubernetes, modern CI/CD, Terraform/Pulumi).
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Excellent collaboration and communication skills; comfortable in a fast-moving, low-ego engineering culture.
Nice to Have
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Experience with Claude Code.
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Background in observability or introspection tooling.
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Interest in how AI can enhance system visibility, security, or automation.
Why You’ll Love Working Here
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Work on cutting-edge runtime technology at the intersection of security, observability, and AI.
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Collaborate with an experienced, thoughtful team that values deep technical understanding and craftsmanship.
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A collaborative, in-person environment in the heart of San Francisco’s South Park / SOMA district.
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The opportunity to shape how modern developers build, ship, and secure software in the AI-accelerated era.
Compensation
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Equity and benefits available.
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Non-elective 401k contributions.
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