Software Engineer, Agentic Runtime

Responsibilities

• Own impactful runtime problems end-to-end — from architecture and design to production launch and ongoing reliability.
• Build and evolve core services for session lifecycle, streaming responses (e.g., gRPC/WebSockets), structured tool execution, memory/state, and policy/guardrails.
• Design for performance, correctness, and cost: reduce p50/p95 latency, improve tail behavior, and optimize token/tool budgets.
• Integrate with leading LLM providers (e.g., OpenAI, Anthropic, Google Gemini) and internal evaluation frameworks to improve quality and predictability.
• Harden the platform with fault isolation, retries, timeouts, circuit-breaking, backpressure, and graceful degradation.
• Instrument deep observability (tracing, metrics, logs) and create playbooks/SLOs for high availability and on-call excellence.
• Collaborate closely with product, quality, and application teams to prioritize the most impactful roadmap investments.

Requirements

• 3+ years of software engineering experience building production distributed systems or cloud-native applications.
• BS/BA in Computer Science or related field, or equivalent practical experience.
• Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests.
• Product-minded: prioritize customer impact, clear SLAs/SLOs, and pragmatic iteration.
• Ownership-driven with a positive, proactive attitude; comfortable leading projects or learning from battle-tested engineers.
• Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure).
• Familiarity with event/streaming systems (e.g., Pub/Sub, Kafka), caching (e.g., Redis), and data stores for low-latency paths.
• Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.
• Strong observability and debugging skills: tracing (e.g., OpenTelemetry), metrics, dashboards, and production forensics.

Nice-to-Haves

• Background in one or more areas: policy/guardrails, multi-tenant isolation, rate-limiting, concurrency control, cost optimization.

Compensation & Benefits

• Standard base salary range: $170,000 - $265,000 annually (determined by location, level, knowledge, skills, experience).
• Eligible for variable compensation, equity, and benefits.
• Comprehensive benefits: Medical, Vision, Dental; generous time-off; 401k; home office stipend; annual education and wellness stipends; company events; daily healthy lunches.