3 months ago
Base Salary
$230k - $315k/yr
Responsibilities
- Architect and develop the Agent Harness runtime for agent planning, reasoning, memory, and tool-execution loops.
- Build reliable state machines that can pause, resume, and version agent trajectories.
- Design secure, isolated, ephemeral environments for executing agent-generated code.
- Develop high-throughput APIs and integration layers connecting agents to external services, databases, web search, and file processors.
- Implement security guardrails against prompt injection and jailbreaks while enforcing data isolation boundaries.
- Optimize routing, context-window pruning, context caching, token usage, latency, and operational costs.
- Write high-level design documents, align engineering teams on technical strategy, and mentor software engineers.
Requirements
- At least 8 years of professional software engineering experience designing, scaling, and operating mission-critical distributed systems.
- At least 2 years of production experience building or modifying agent execution environments, LLM orchestrators, or tool-calling frameworks.
- Expert proficiency in Go and Python, with strong knowledge of concurrent programming, microservices, gRPC, and scalable API design.
- Experience with containerization, virtualization, and sandboxing untrusted code execution, including Docker and Kubernetes.
- Deep familiarity with Kafka, RabbitMQ, Redis, and relational or non-relational database design.
- Bachelor’s or Master’s degree in Computer Science or engineering, or equivalent practical systems engineering experience.
- Preferred experience developing developer tools, SDKs, or extensible plug-in architectures.
- Preferred experience with React and TypeScript for frontend integrations.
- Experience in high-growth startup environments is preferred.
Benefits
- Flexible PTO
- Medical, dental, and vision insurance
- 401(k) with matching
- Parental leave and fertility benefits
- 10 free therapy sessions through Samata Health
- Wellness stipend
- Lunch credit when working in the office
- Hybrid work arrangement
Tech Stack
Categories
About Instabase
Instabase builds an enterprise AI platform (AI Hub) to extract, structure, and act on unstructured documents, helping banks, insurers, and public-sector agencies automate complex workflows. Delivered as SaaS with consumption-based pricing, the privately held company (founded in 2015; headquartered in San Francisco, with an office in Bengaluru) is backed by investors including Greylock, Andreessen Horowitz, NEA, and Index Ventures.