Hark
Platform Engineer
San Jose · Full-time
Sponsorship not specified$170k-$400kDetected 83 days ago
Platform EngineeringRESTLLMsAgentic AISystems Engineering
About the role
- Everything that makes the intelligence actually works in production.
- That means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage.
- This is a high-ownership role on a small team.
Responsibilities
- Build the core runtime that powers Hark's agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together.
- Own features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage.
- Architect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines.
- Build the core runtime that powers Hark's agent platform.
- You'll build the platform that powers Hark's AI agent - the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production.
- This is a high-ownership role on a small team. You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both.
- You'll build the platform that powers Hark's AI agent - the runtime, the infrastructure, the primitives.
- You'll work directly with the people building the models and the people shipping the product, and the systems you build will define what's possible for both.
- Hark is an artificial intelligence company building advanced, personalized intelligence.
- We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines.
Requirements
- You know the difference between something that works in a demo and something that works at scale.
- You have built with LLMs, thought about how they fail, and have opinions about what makes agentic systems reliable.
- Comfort with ambiguity and fast iteration.
Nice to have
- Experience at a fast-growing AI or infrastructure-focused company.
- Hands-on experience with agent frameworks.
- Experience with streaming architectures.
- Experience with execution sandboxes.
- Experience with memory systems or tool integration protocols.
- The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
- This information will be shared if an employment offer is extended.
- 5+ years of relevant software engineering experience.
Compensation
- The US base salary range for this full-time position is between $170,000 - $400,000 annually.
- The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience.
- The total compensation package may also include additional components/benefits depending on the specific role.
- This information will be shared if an employment offer is extended.
Benefits
- One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.
This listing is sourced directly from Hark's careers page and normalized into a canonical job model.