Senior Software Engineer, Agent Platform
$200k - $400k • San Francisco • FullTime
Posted 9mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Decagon is seeking a Senior Software Engineer to join the Agent Platform team. This team builds the runtime and model orchestration layer that powers Decagon's AI agents in production, ensuring a reliable, low-latency, and delightful experience for end users. As a Senior Software Engineer, you will design and build the complex, distributed systems at the heart of the agent runtime, including execution frameworks, model orchestration logic, and experimentation platforms. Your work will directly impact how agents reason, take actions, and deliver outcomes across millions of interactions in a fast-moving, ambiguous space with tight feedback loops. You will collaborate closely with Research, Infra, and Product teams to ship improvements safely and at scale.
Responsibilities
- Design and evolve agent harnesses that power different product experiences
- Build core runtime systems, including AOP execution and multi-model orchestration
- Develop control-plane logic for routing, planning, and tool invocation with strong safety guarantees
- Optimize agent systems for latency, reliability, and production correctness
- Analyze real-world failures and use data to drive iterative improvements
- Build and operate online experimentation (A/B testing) and contribute to offline evaluation frameworks
- Improve observability, testing, and simulation systems to ensure safe, measurable progress
- Contribute to voice and real-time systems (e.g., transcription pipelines, turn-taking, latency improvements)
- Continuously adapt orchestration systems as model capabilities evolve
Requirements
- Strong experience building distributed systems or backend platforms in production environments
- Comfort working in ambiguous, fast-moving environments with rapid iteration cycles
- Experience owning systems end-to-end, from design through production and iteration
- Familiarity with experimentation, evaluation, or data-driven product improvement loops
- A track record of improving system reliability, performance, and observability
- Ability to debug complex systems and identify root causes of failures
- Experience building or working on agent harnesses, orchestration layers, or execution frameworks
- Thinking in terms of control planes, feedback loops, and system-level optimization
- Excitement about diagnosing failure modes and iterating toward measurable improvements
- Deep care for production quality—making systems reliable, safe, and scalable
- Motivation by pushing the frontier of how intelligent systems behave in the real world
Benefits
- Equity
- Medical, Dental, and Vision benefits for you and your family
- Life Insurance and Disability Benefits
- Retirement Plan (e.g., 401K, pension)
- Parental Leave
- Fertility and family building benefits through Carrot
- Monthly stipend to support your wellness, lifestyle