On-Site ML Search Engineer — Full-Stack AI Discovery

Deploy

Birmingham (AL)

On-site

USD 120,000 - 170,000

Full time

6 days ago
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Job summary

Deploy is seeking a Senior Full Stack Engineer on the ML/AI Search team in Birmingham, AL. You will own the full lifecycle of search-driven features, from backend Python services to frontend interfaces, delivering production-grade AI-powered product discovery for industrial buyers.

The role emphasizes end-to-end ownership, scalable architectures on GCP, and collaboration with ML engineers, architects, and product owners. On-site work in Birmingham is required.

Qualifications

  • 6+ years of backend or full-stack engineering with a Python/React focus.
  • Experience deploying cloud-native applications on GCP (AWS/Azure also considered).
  • Building resilient microservices and REST/gRPC APIs.
  • Containerization with Docker and orchestration with Kubernetes.
  • Strong SOLID principles and software craftsmanship.
  • Effective communication in cross-functional, agile teams with ML engineers and product owners.
  • Experience with Monorepos management.

Responsibilities

  • Design, develop, and deploy production Python services end-to-end—from retrieval to client APIs.
  • Build ML inference pipelines and integration with vector/datastore tooling.
  • Develop event-driven architectures using GCP services (Cloud Run, Pub/Sub, GKE).
  • Own CI/CD, testing, observability, and IaC practices.
  • Lead frontend architecture decisions and reusable components.

Skills

Python
React
Cloud-native
REST APIs
Docker
Kubernetes
Monorepos
Mentorship
Communication

Tools

GCP
Cloud Run
Pub/Sub
GKE
Elasticsearch/OpenSearch

Job description

Deploy is seeking a Senior Full Stack Engineer on the ML/AI Search team in Birmingham, AL. You will own the full lifecycle of search-driven features, from backend Python services to frontend interfaces, delivering production-grade AI-powered product discovery for industrial buyers.

The role emphasizes end-to-end ownership, scalable architectures on GCP, and collaboration with ML engineers, architects, and product owners. On-site work in Birmingham is required.

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