Senior Software Engineer, Backend - Platform (Core AI Automation)

engineeringjobs.net, Inc.; Seattle (WA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Equity

Bonus Eligibility

Job summary

Engineeringjobs.net, Inc. in Seattle is seeking an experienced software engineer to design, build, deploy, and monitor agentic AI systems and scalable backend infrastructure.

You will lead AI projects, collaborate with product and operations, and mentor engineers while driving incident response to improve reliability and business impact. Strong Python and Go skills, microservices expertise, and AI model integrations are essential.

Qualifications

• 5+ years of software engineering experience building production microservices.
• Hands-on experience delivering LLM applications or AI/ML systems in production.
• Proficiency in Python and Golang or comparable backend languages.
• Experience with AI model integrations, data pipelines, and delivering measurable business impact.

Responsibilities

• Design, build, deploy, and monitor agentic AI systems and secure, scalable backend infrastructure.
• Lead complex AI projects and collaborate with product and operations teams.
• Strengthen engineering quality through reviews, mentoring, and incident response.

Skills

Microservices

Python

Golang

LLM Applications

AI/ML Systems

Data Pipelines

Prompt Engineering

Retrieval-Augmented Generation

Incident Response

Docker

PostgreSQL

MongoDB

Tools

Docker

PostgreSQL

MongoDB

Job description

Design, build, deploy, and monitor agentic AI systems and secure, scalable backend infrastructure for automating customer support and compliance operations. Lead complex AI projects, collaborate with operational and product teams, and strengthen engineering quality through reviews, mentoring, and incident response.

Requirements: Requires 5+ years of software engineering experience building production microservices, plus hands-on experience delivering LLM applications or AI/ML systems in production. Candidates should be proficient in Python and Golang or comparable backend languages, and have experience with AI model integrations, data pipelines, and delivering measurable business impact.

Key Skills: Python, Golang, Microservices, Large Language Models, Agentic AI, Prompt Engineering, Retrieval-Augmented Generation, AI/ML Systems, Backend Infrastructure, Model Integration, Data Pipelines, Unstructured Data, Docker, PostgreSQL, MongoDB, Incident Response

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, 401(k), Equity, Bonus Eligibility