Software Engineer, Agentic Runtime

Gleanwork; Mountain View (CA); Hybrid; USD 170,000 - 265,000; Full time

Benefits offered by this job

Medical, vision, and dental coverage

Generous time-off policy

Home office improvement stipend

Job summary

Gleanwork is looking for an experienced software engineer to join the Agents Runtime team. You'll design and operate core services that enhance Glean’s AI capabilities. Responsibilities include solving runtime issues, improving performance, and collaborating with cross-functional teams.

The ideal candidate has a strong background in distributed systems, coding (Python, Go, Java, C++), and experience with Kubernetes. The position offers a competitive salary range of $170,000 to $265,000 annually and a comprehensive benefits package.

Qualifications

• 3+ years of software engineering experience in building production distributed systems.
• Strong coding skills in at least one major programming language.
• Product-minded with a focus on customer impact and SLAs.

Responsibilities

• Own impactful runtime problems from architecture to production launch.
• Build core services for session lifecycle and streaming responses.
• Collaborate with product and engineering teams on successful integrations.

Skills

Software engineering experience

Strong coding skills (Python, Go, Java, C++)

Ownership-driven attitude

Experience with Kubernetes

Understanding of cloud services (GCP, AWS, Azure)

Strong observability and debugging skills

Education

BS/BA in Computer Science or related field

Tools

Kubernetes

Redis

OpenTelemetry

Kafka

Job description

About the Role

The Agents Runtime team builds the low‑latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi‑turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

You will

• 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.

You are

• 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: you 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.
• Background in one or more areas is a plus: policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization.

Location

This role is hybrid (3-4 days a week in one of our SF Bay Area offices).

Compensation & Benefits

The standard base salary range for this position is $170,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We offer a comprehensive benefits package including competitive compensation, medical, vision, and dental coverage, generous time‑off policy, and the opportunity to contribute to your 401(k) plan. When you join, you'll receive a home office improvement stipend, as well as annual education and wellness stipends. We foster a vibrant company culture through regular events, and provide healthy lunches daily.

Equal Employment Opportunity

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.