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Member of Technical Staff - Agent Platform (Agent OS)

Boson AI· Engineering
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Santa Clara, CA$150k - $400kFull-timePosted 2mo ago

About the role

Engineer and evolve the core Agent OS platform including dialog & policy engine, distributed context & memory, execution runtime, security isolation, voice runtime, and agentic orchestration frameworks to support Boson AI agents and production-grade workflows.

Responsibilities

  • System Ownership: Take ownership of the core dialog & policy engine. Define and implement the state machine for agent state representation, the decision-making logic, and the mechanisms for enforcing complex safety policies and guardrails at the execution layer of a workflow.
  • Distributed Context & Memory: Design, implement, and maintain the high-performance context and memory systems. Focus on low-latency, reliable access to conversational and user history, including the tight integration and optimization of RAG and vector retrieval pipelines for production use.
  • Agentic Orchestration Frameworks: Define, architect, and deliver robust agentic orchestration patterns, including battle-tested planner–executor schemes, ReAct-style reasoning and acting loops, and resilient, multi-step workflows that programmatically combine tools, LLMs, and stateful memory.
  • Internal SDK/Framework Development: Build and evolve the internal, production-grade equivalent of frameworks like LangChain/LlamaIndex. Design composable graphs and execution chains with clear APIs and type safety that product engineering teams and low-code builders can safely reuse, extend, and deploy at scale.
  • Voice Runtime Infrastructure: Own and optimize the voice runtime components for streaming audio, low-latency barge-in detection, and reliable turn-taking protocols. This requires deep collaboration with Application and ML Platform teams to meet tight latency, jitter, and QoS constraints.
  • Tooling & Integration Architecture: Architect a robust, secure tooling and integration framework (MCP/A2A). This includes building the underlying infrastructure for tool registration, handling complex authentication/authorization, implementing rate limiting/circuit breaking, managing retries, and ensuring typed, validated I/O between agents and external microservices.
  • Platform Observability & Reliability: Define, instrument, and monitor rigorous SLIs/SLOs for the Agent Platform. Lead engineering efforts to continuously improve reliability, enhance system debuggability (rich, step-level traces and structured logging), and drive core performance optimizations over time.
  • API & Abstraction Design: Ensure the platform's public-facing APIs and internal abstractions are clear, well-documented, and fundamentally sound, enabling junior and senior engineers alike to compose sophisticated agent behavior without introducing systemic invariants or breaking changes.
  • Advanced Capabilities R&D: Explore and prototype future capabilities, focusing on the engineering challenges of on-device personalization, privacy-preserving federated learning signals, or integrating novel policy adaptation techniques that influence agent behavior in production.

Qualifications

  • Deep Experience: 3+ years of hands-on experience in backend engineering and distributed systems, with a track record of building and owning core platforms or frameworks used successfully by other engineering teams.
  • Agentic Systems Expertise: Demonstrated, hands-on experience architecting, building, or operating production-grade agentic systems: orchestrating LLM calls, managing complex tool interactions, and defining stateful workflows—moving beyond simple single prompt/response API integrations.
  • Orchestration & Design Patterns: Strong working knowledge of engineering orchestration frameworks (e.g., LangChain, LlamaIndex, or internal equivalents) and a deep understanding of core design patterns like RAG, ReAct, and multi-step planning.
  • Systems Engineering Mastery: Deep and practical understanding of distributed system design, concurrent programming, and building for reliability in multi-tenant cloud environments with strictly defined latency and cost envelopes.
  • Framework Evangelism: Proven experience designing, implementing, and rolling out successful frameworks or libraries that other internal engineering teams enthusiastically adopt and productively build upon.
  • Security Focus: Comfort and prior experience working on security-sensitive systems, including implementing authz/authn schemes, isolation boundaries, data protection protocols, and integrating with centralized policy/safety infrastructure.
  • Technical Leadership: Strong technical communication skills and the ability to lead complex, cross-functional technical initiatives, driving consensus and influencing architectural decisions across partner teams.

Skills

Required:Backend engineeringAgentic systems designOrchestration frameworks

Benefits

  • 401k plan
  • HSA
  • FSA
  • free food
Last updated Aug 10, 2026. Interested? Apply on the company site.
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About Boson AI

Boson AI | AI for Humans

Boson AI builds voice agents for business-critical work — speech-to-speech models, real-time avatars, and production TTS in 100+ languages.

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