Flair Labs · 1 day ago
Founding Infrastructure Engineer - Flair Labs
United States
Full-time
Remote
Mid, Senior Level
$120K/yr - $160K/yr
5+ years expFlair Labs is looking for a talented Founding Infrastructure Engineer to help build and scale their Voice AI Agent platform. The role involves designing and delivering software that enables local businesses to manage complex customer interactions automatically across multiple channels.
Cloud ComputingConsultingInformation TechnologySaaSSoftware
No H1B
Responsibilities
Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale
Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions
Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability
Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience
Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency
Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes
Qualification
Required
5+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir
1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Proven success designing and maintaining distributed or high-throughput systems
Strong problem-solving ability and comfort navigating ambiguity in large-scale systems
Excellent communication skills and the ability to work effectively across teams
A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving
Ability to thrive in a fast-paced environment with shifting priorities
Preferred
1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows
Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring
Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior
Experience with modern agent frameworks including multi-step reasoning, memory, and orchestration patterns
Hands-on experience with fine-tuning and data curation for improving model performance
Company
Flair Labs
Flair Labs is a provider of SaaS solutions for businesses.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase