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Orchestration information
See salary details
$11.06 - $18.60
8% of jobs
$18.60 - $26.14
0% of jobs
$26.14 - $33.68
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$33.68 - $41.22
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$41.22 - $48.75
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$48.75 - $56.29
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$56.29 - $63.83
1% of jobs
$68.01 is the 25th percentile. Wages below this are outliers.
$63.83 - $71.37
29% of jobs
The median wage is $74.29 / hr.
$71.37 - $78.91
32% of jobs
$80.71 is the 75th percentile. Wages above this are outliers.
$78.91 - $86.45
23% of jobs
$86.45 - $93.99
7% of jobs
$11
$71
$93
How much do orchestration jobs pay per hour?
What are the key skills and qualifications needed to thrive as an Orchestration Engineer, and why are they important?
How does an orchestration engineer typically collaborate with development and operations teams to streamline workflow automation?
What is orchestration in the context of IT and business operations?
What is the difference between Orchestration vs Automation?
| Aspect | Orchestration | Automation |
|---|---|---|
| Definition | Coordination of multiple automated processes to achieve a complex goal | Execution of a single task or process automatically |
| Scope | Integrates various systems and workflows | Focuses on individual tasks |
| Complexity | Handles complex, multi-step workflows | Typically simple, repetitive tasks |
| Tools | Orchestration platforms (e.g., Kubernetes, Ansible Tower) | Automation scripts and tools (e.g., scripts, RPA tools) |
While automation involves executing specific tasks automatically, orchestration manages and coordinates multiple automated processes to streamline complex workflows across systems. Orchestration provides a higher-level view, ensuring different automated tasks work together efficiently to achieve broader objectives.

Full-time
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Job description
Decagon is the leading conversational AI platform empowering brands to deliver concierge customer experiences. The Staff Software Engineer on the Agent Orchestration team will design and build systems that govern how Decagon agents operate in real-world environments, focusing on execution frameworks, model orchestration logic, and experimentation platforms.
Responsibilities:
โข Design and evolve agent harnesses that power different product experiences
โข Build core runtime systems, including AOP execution and multi-model orchestration
โข Develop control-plane logic for routing, planning, and tool invocation with strong safety guarantees
โข Optimize agent systems for latency, reliability, and production correctness
โข Analyze real-world failures and use data to drive iterative improvements
โข Build and operate online experimentation (A/B testing) and contribute to offline evaluation frameworks
โข Improve observability, testing, and simulation systems to ensure safe, measurable progress
โข Contribute to voice and real-time systems (e.g., transcription pipelines, turn-taking, latency improvements)
โข Continuously adapt orchestration systems as model capabilities evolve
Qualifications:
Required:
โข Strong experience building distributed systems or backend platforms in production environments
โข Comfort working in ambiguous, fast-moving environments with rapid iteration cycles
โข Experience owning systems end-to-end, from design through production and iteration
โข Familiarity with experimentation, evaluation, or data-driven product improvement loops
โข A track record of improving system reliability, performance, and observability
โข Ability to debug complex systems and identify root causes of failures
Preferred:
โข Youโve built or worked on agent harnesses, orchestration layers, or execution frameworks
โข You think in terms of control planes, feedback loops, and system-level optimization, not just features
โข Youโre excited about diagnosing failure modes and iterating toward measurable improvements
โข You care deeply about production qualityโnot just making systems work, but making them reliable, safe, and scalable
โข Youโre motivated by pushing the frontier of how intelligent systems behave in the real world
Company:
Decagon provides a conversational AI platform for automating customer support across multiple channels. Founded in 2023, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.