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

Deploy; Birmingham (AL); On-site; USD 120,000 - 170,000; Full time

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.