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

engineeringjobs.net, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Equity

Bonus Eligibility

Job summary

engineeringjobs.net, Inc. is seeking a senior software engineer to design, build, and operate agentic AI systems and scalable backend infrastructure for automated customer support and compliance workflows.

You will lead complex AI projects, collaborate with product and operations teams, and improve engineering quality through code reviews, mentoring, and on-call responsibilities.

Qualifications

• Requires 5+ years of software engineering experience building production microservices.
• Hands-on experience delivering LLM applications in production.
• Proficient in Python and Golang or comparable backend languages.
• Experience with data pipelines or large unstructured datasets.

Responsibilities

• Design, build, and operate AI systems for automation of support and compliance workflows.
• Lead AI projects from orchestration to deployment and monitoring.
• Mentor teammates and participate in on-call rotations.

Skills

Python

Golang

Microservices

LLMs

Agentic AI

Prompt Engineering

RAG

Data Pipelines

PostgreSQL

MongoDB

Incident Response

Tools

Docker

PostgreSQL

MongoDB

Job description

Design, build, and operate agentic AI systems and secure, scalable backend infrastructure for automating customer support and compliance workflows. Lead complex AI projects from orchestration through deployment and monitoring, partner with operational and product teams, and strengthen engineering quality through reviews, mentoring, and on-call work.

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 a record of delivering measurable outcomes, integrating AI models or external vendors, and working with data pipelines or large unstructured datasets.

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