Senior AI Engineer
ArcadiaAbout the role
A high-growth and reputable startup is rebuilding an entire industry's approach to data from the ground up, using AI agents to convert messy, unstructured information into clean, actionable intelligence at scale. Instead of bolting AI onto legacy systems, they built their platform natively around modern ML/AI, and it's already producing measurable results for enterprise customers across manufacturing, retail, and logistics. They've recently been recognized as one of the standout early-stage vendors in their space for momentum and technical innovation.
They're hiring a Senior AI Engineer to join the core engineering team and own the systems powering the AI platform. This is a backend and AI-first role built for someone who has actually shipped distributed, event-driven systems in production, and who has real, hands-on experience deploying and scaling LLMs and agents in live environments, not just spun up a demo. You'll work across a modern polyglot stack, partnering closely with the product engineering team to take new agent capabilities from prototype to production, while living in the AI systems powering the core product.
What You'll Do
Deploy, optimize, and scale LLMs and AI agents in production, turning messy data into structured, usable intelligence
Build and own the infrastructure layer supporting multi-agent orchestration across the platform
Design, build, and scale backend services and distributed systems for high-throughput, real-time workloads
Own reliability, observability, and performance across core backend services
Partner with AI/ML and product teams to bring new capabilities from prototype to production
What You Need
6+ years backend engineering experience, Senior or Staff level impact
1+ year professional experience with LLMs, AI agents, or ML systems in production
Deep expertise in distributed systems and event-driven architecture
Hands-on AWS experience (ECS, Lambda, SQS, S3, etc.)
Strong communication skills and a bias toward ownership
Responsibilities
- Deploy, optimize, and scale LLMs and AI agents in production
- Build and own the infrastructure layer supporting multi-agent orchestration
- Design, build, and scale backend services and distributed systems
- Own reliability, observability, and performance across core backend services
- Partner with AI/ML and product teams to bring new capabilities from prototype to production
Qualifications
- 6+ years backend engineering experience
- 1+ year professional experience with LLMs, AI agents, or ML systems in production
- Deep expertise in distributed systems and event-driven architecture
- Hands-on AWS experience (ECS, Lambda, SQS, S3, etc.)
- Strong communication skills and a bias toward ownership
Skills mentioned
About Arcadia
Arcadia is a high-performance recruitment firm operating on a top percentile trajectory across North America, with growth speed and per-head productivity placing it among the top 1–3% of agencies in the global market place. Built to challenge the traditional model, Arcadia has scaled to a multi-million dollar run rate in under a year through disciplined execution, selective partnerships, and consistent, elite-level performance. The business is designed for precision, output, and scale. Our footprint spans North America from coast-to-coast, with presence in Toronto and New York as well as key U.S. markets including Charlotte, Boston, San Francisco, Atlanta, and Miami. We partner with companies backed by leading venture firms including Y Combinator, Andreessen Horowitz, General Catalyst, Founders Fund, Accel, and GV, delivering talent that directly impacts outcomes at the edge of innovation. At the same time, we work with mid-market and enterprise organizations across North America, enabling access to the same caliber of talent, speed, and precision required to compete in an AI-driven landscape. Arcadia sits in a category that is not widely accessible, nor easily replicated. Built on Trust. Delivered with Discipline. Rooted in Integrity.