Senior Python AI Engineer: Scalable Backend & LLMs

Omegahires; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Omegahires is seeking a Python AI Engineer with 6+ years of professional software development experience to build scalable backend services, fuse AI capabilities, and deliver production-ready cloud-native solutions.

You will design and operate microservices, implement REST APIs with FastAPI, and work with Docker, Kubernetes, and cloud platforms to support LLM workflows and AI orchestration.

Qualifications

• 6+ years of professional software engineering experience with strong Python expertise.
• Proven design and operation of microservices, REST APIs, and distributed systems.
• Experience building MCP servers, AI service integrations, or tool-based interfaces for LLM applications.
• Proficiency with FastAPI and scalable architectures.
• Strong understanding of scalable architecture, asynchronous processing, caching, messaging, and fault-tolerant design.
• Experience with SQL, data modeling, Git, automated testing, and CI/CD.
• Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Familiarity with logging, metrics, distributed tracing, and production troubleshooting.
• Exposure to LangChain, vector DBs, and AI orchestration frameworks.

Skills

Python

Distributed systems

Microservices

REST APIs

AI / LLM applications

FastAPI

Asynchronous processing

Caching

Messaging

Fault-tolerant design

SQL

Data modeling

Git

Automated testing

CI/CD

Tools

Docker

Kubernetes

AWS

Google Cloud

Microsoft Azure

PostgreSQL

Kafka

Spark

Airflow

MLflow

Kubeflow

Argo Workflows

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Vector databases

Job description

Omegahires is seeking a Python AI Engineer with 6+ years of professional software development experience to build scalable backend services, fuse AI capabilities, and deliver production-ready cloud-native solutions.

You will design and operate microservices, implement REST APIs with FastAPI, and work with Docker, Kubernetes, and cloud platforms to support LLM workflows and AI orchestration.