Senior Software Engineer AI

InnoveIQ; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

InnoveIQ is seeking an experienced backend engineer to own and maintain production-grade Python services running on Azure-native distributed systems. You will build and operate AI-powered systems, including RAG pipelines and agentic workflows, while upholding the highest engineering standards across reliability and scalability.

The ideal candidate has 8-10+ years of backend experience with Python in real-world Azure production environments, plus a proven track record of incident management and

Qualifications

• 8-10+ years of backend engineering experience.
• Deep expertise in Python and real-world Azure production environments.
• Proven track record of managing live production incidents and shipping production-ready AI systems.

Responsibilities

• Own and maintain production-grade Python services and Azure-native distributed systems.
• Build and operate AI-powered systems including RAG pipelines and agentic workflows.
• Uphold high engineering standards in reliability, scalability, and incident response.

Skills

Python

Azure

Distributed Systems

RAG Pipelines

LLM Orchestration

LangChain

AutoGen

Semantic Kernel

Azure Functions

Durable Functions

Event Grid

Service Bus

C#

CI/CD

Observability

Distributed Tracing

Tools

LangChain

AutoGen

Semantic Kernel

Azure Functions

Durable Functions

Event Grid

Service Bus

CI/CD

Observability

Distributed Tracing

Job description

Own and maintain production-grade Python services and Azure-native distributed systems to ensure reliability and scalability. Build and operate AI-powered systems including RAG pipelines and agentic workflows while upholding high engineering standards.

Requirements: Requires 8-10+ years of professional backend engineering experience with deep expertise in Python and real-world Azure production environments. Candidates must have a proven track record of managing live production incidents and shipping production-ready AI systems.

Key Skills: Python, Azure, Distributed Systems, RAG Pipelines, LLM Orchestration, LangChain, AutoGen, Semantic Kernel, Azure Functions, Durable Functions, Event Grid, Service Bus, C#, CI/CD, Observability, Distributed Tracing