Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs then connect them with top-tier candidates who are not only highly skilled but also the right fit for the companys culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
Location: San Francisco CA or New York NY Company Stage of Funding: Series C AI Company ($231M Raised) Office Type: Onsite (5 Days Per Week) Salary: $200000$400000 Competitive Equity
Company Description
Were representing one of the fastest-growing AI infrastructure companies building the orchestration layer that powers enterprise-grade AI agents. Their platform enables leading consumer and enterprise brands to deploy conversational AI agents across voice chat email and messaging channels handling millions of customer interactions at scale.
Backed by top-tier investors and experiencing hypergrowth the company is building the systems that determine how AI agents reason select tools execute workflows and continuously improve in production. As part of the Agent Orchestration team youll work on some of the most challenging engineering problems at the intersection of distributed systems applied machine learning experimentation and agent infrastructure.
What You Will Do
Design and build the orchestration systems that power AI agents in production environments.
Develop agent harnesses responsible for workflow execution model routing tool orchestration and safety controls.
Build distributed backend systems that support real-time and long-running agent workflows.
Design control-plane infrastructure for planning execution routing and model selection.
Improve latency reliability scalability and production correctness across agent runtime systems.
Analyze real-world failure modes and build feedback loops that continuously improve agent performance.
Develop experimentation frameworks A/B testing infrastructure and evaluation systems.
Improve observability monitoring simulation and testing capabilities across the platform.
Collaborate closely with Research Infrastructure and Product teams to push the frontier of agent behavior and performance.
Contribute to voice infrastructure transcription pipelines and other latency-sensitive systems.
Ideal Background
315 years of software engineering experience.
Strong background building distributed systems backend platforms or large-scale infrastructure.
Experience operating in highly ambiguous fast-moving and technically challenging environments.
Proven track record of owning systems from design through production deployment and iteration.
Experience working on frontier or greenfield technical problems rather than incremental product improvements.
Strong understanding of system reliability observability debugging and production operations.
Experience working near the machine learning layer including applied ML systems recommendation systems ranking systems perception systems or agent infrastructure.
Excellent problem-solving ability and strong engineering fundamentals.
Preferred
Experience building agent orchestration frameworks execution engines agent runtimes or agent harnesses.
Applied machine learning engineering experience in production environments.
Background at high-growth startups quantitative trading firms or frontier technology companies.
Experience with experimentation systems evaluation frameworks or feedback-driven optimization loops.
Strong Computer Science Machine Learning Mathematics or related technical education.
Advanced degree (MS or PhD) in Computer Science Machine Learning Statistics or a quantitative field.
Experience working with real-time systems voice infrastructure or latency-sensitive distributed applications.
Familiarity with multi-model orchestration tool-calling systems planning frameworks or AI agent architectures.
Compensation and Benefits
Base salary: $200000$400000.
Competitive equity package.
Opportunity to work on cutting-edge AI agent infrastructure used by major enterprise customers.
Join a rapidly scaling company backed by leading venture investors.
Exposure to some of the most advanced problems in agent orchestration experimentation and AI systems reliability.
High-impact environment with strong technical ownership and autonomy.
Collaborative in-person engineering culture focused on speed execution and innovation.
Multiple career growth paths across engineering leadership infrastructure applied AI and research-oriented initiatives.
Who is Recruiting from Scratch:Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs then connect them with top-tier candidates who are not only highly skilled but also the rig...
Who is Recruiting from Scratch:
Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs then connect them with top-tier candidates who are not only highly skilled but also the right fit for the companys culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
Location: San Francisco CA or New York NY Company Stage of Funding: Series C AI Company ($231M Raised) Office Type: Onsite (5 Days Per Week) Salary: $200000$400000 Competitive Equity
Company Description
Were representing one of the fastest-growing AI infrastructure companies building the orchestration layer that powers enterprise-grade AI agents. Their platform enables leading consumer and enterprise brands to deploy conversational AI agents across voice chat email and messaging channels handling millions of customer interactions at scale.
Backed by top-tier investors and experiencing hypergrowth the company is building the systems that determine how AI agents reason select tools execute workflows and continuously improve in production. As part of the Agent Orchestration team youll work on some of the most challenging engineering problems at the intersection of distributed systems applied machine learning experimentation and agent infrastructure.
What You Will Do
Design and build the orchestration systems that power AI agents in production environments.
Develop agent harnesses responsible for workflow execution model routing tool orchestration and safety controls.
Build distributed backend systems that support real-time and long-running agent workflows.
Design control-plane infrastructure for planning execution routing and model selection.
Improve latency reliability scalability and production correctness across agent runtime systems.
Analyze real-world failure modes and build feedback loops that continuously improve agent performance.
Develop experimentation frameworks A/B testing infrastructure and evaluation systems.
Improve observability monitoring simulation and testing capabilities across the platform.
Collaborate closely with Research Infrastructure and Product teams to push the frontier of agent behavior and performance.
Contribute to voice infrastructure transcription pipelines and other latency-sensitive systems.
Ideal Background
315 years of software engineering experience.
Strong background building distributed systems backend platforms or large-scale infrastructure.
Experience operating in highly ambiguous fast-moving and technically challenging environments.
Proven track record of owning systems from design through production deployment and iteration.
Experience working on frontier or greenfield technical problems rather than incremental product improvements.
Strong understanding of system reliability observability debugging and production operations.
Experience working near the machine learning layer including applied ML systems recommendation systems ranking systems perception systems or agent infrastructure.
Excellent problem-solving ability and strong engineering fundamentals.
Preferred
Experience building agent orchestration frameworks execution engines agent runtimes or agent harnesses.
Applied machine learning engineering experience in production environments.
Background at high-growth startups quantitative trading firms or frontier technology companies.
Experience with experimentation systems evaluation frameworks or feedback-driven optimization loops.
Strong Computer Science Machine Learning Mathematics or related technical education.
Advanced degree (MS or PhD) in Computer Science Machine Learning Statistics or a quantitative field.
Experience working with real-time systems voice infrastructure or latency-sensitive distributed applications.
Familiarity with multi-model orchestration tool-calling systems planning frameworks or AI agent architectures.
Compensation and Benefits
Base salary: $200000$400000.
Competitive equity package.
Opportunity to work on cutting-edge AI agent infrastructure used by major enterprise customers.
Join a rapidly scaling company backed by leading venture investors.
Exposure to some of the most advanced problems in agent orchestration experimentation and AI systems reliability.
High-impact environment with strong technical ownership and autonomy.
Collaborative in-person engineering culture focused on speed execution and innovation.
Multiple career growth paths across engineering leadership infrastructure applied AI and research-oriented initiatives.
Senior software engineering jobs at top AI-native startups. Recruiting from Scratch advocates for candidates — 300+ placements, 29-day avg time to hire, 90+ NPS. Browse open roles.
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