Senior Search & AI Engineer - Python, GCP, Vector Tech

Insight Global (United States); Irondale (AL); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Employee discounts

Job summary

Insight Global (United States) is hiring a senior backend engineer focused on Python and cloud-native design. You will own end-to-end production search and AI services, including ML inference pipelines on GCP and real-time systems.

You’ll contribute to hybrid retrieval stacks, vector databases, and relevance experiments, while upholding CI/CD and observability standards. You will collaborate with ML engineers, architects, and product owners in a cross-functional, agile team, applying SOLID

Qualifications

• 6+ years of backend or full-stack engineering with Python focus.
• Cloud-native apps design/deployment, preferably GCP.
• Experience building resilient microservices and RESTful/gRPC APIs.
• Containerization with Docker, orchestration with Kubernetes, serverless patterns.

Responsibilities

• Build and own production search & AI services end-to-end (Python APIs, ML inference pipelines, real-time systems on GCP).
• Contribute to modern search infra with hybrid retrieval, vector DBs, and relevance measurement via experiments.
• Set engineering bar, lead design discussions, enforce CI/CD and observability, mentor via reviews.

Skills

Python

Cloud (GCP)

API design

Microservices

Docker

Kubernetes

CI/CD

SOLID

Cross-functional teamwork

AI tooling

Elasticsearch/OpenSearch

Vector search (ANN)

LangChain/LangGraph

Terraform/Pulumi

Tools

GCP

Elasticsearch/OpenSearch

FAISS/Pinecone/Weaviate

LangChain

Job description

Insight Global (United States) is hiring a senior backend engineer focused on Python and cloud-native design. You will own end-to-end production search and AI services, including ML inference pipelines on GCP and real-time systems.

You’ll contribute to hybrid retrieval stacks, vector databases, and relevance experiments, while upholding CI/CD and observability standards. You will collaborate with ML engineers, architects, and product owners in a cross-functional, agile team, applying SOLID