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

engineeringjobs.net, Inc.; New York (NY); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Equity

Bonus Eligibility

Job summary

engineeringjobs.net, Inc. seeks an experienced 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 from orchestration through deployment and monitoring, collaborate across teams, and strengthen engineering quality through mentoring, code reviews, and incident response.

Qualifications

• Requires 5+ years of software engineering experience building production microservices.
• Hands-on experience delivering LLM applications or AI/ML systems in production.
• Proficient in Python and Golang or comparable backend languages, able to integrate AI models and APIs.

Responsibilities

• Design, build, and operate agentic AI systems and scalable backend infrastructure.
• Lead AI projects from orchestration through deployment and monitoring.
• Mentor engineers, conduct code reviews, and respond to incidents to improve reliability.

Skills

Python

Golang

Microservices

LLM applications

Agentic AI

Prompt Engineering

Retrieval-Augmented Generation

AI/ML Systems

Data Pipelines

Unstructured Data

Tools

Docker

PostgreSQL

MongoDB

Job description

Design, build, and operate agentic AI systems and secure, scalable backend infrastructure to automate customer support and compliance workflows. Lead complex AI projects from orchestration through deployment and monitoring, collaborate across teams to identify automation opportunities, and strengthen engineering quality through mentoring, code reviews, 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, able to integrate AI models and APIs, and experienced in delivering measurable outcomes, data pipelines, and large-scale unstructured data workflows.

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