Senior Software & AI Modernization Engineer

goodsservices; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

goodsservices is seeking a senior engineering role to modernize enterprise applications while keeping essential business operations reliable. You will blend application development and support with phased legacy migration and production-ready AI solutions, spanning from understanding existing systems to design, deployment, and ongoing support.

You will assess legacy apps, plan phased modernization, and develop APIs, services and reusable components.

Qualifications

• Experience in enterprise software development with JavaScript, TypeScript, Go and Python.
• Knowledge of modern architecture, OO development, legacy modernization, API design, REST, SQL and relational databases.
• Experience with source control, CI/CD, deployment, testing, release management, secure development and production troubleshooting.
• Experience integrating third-party systems and collaborating with data, infrastructure, security, product, and support teams.
• Practical AI experience with LLM APIs, agents, prompt design, tool calling, retrieval-augmented generation, or workflow automation.

Responsibilities

• Assess legacy applications, their business behavior, architecture, data, integrations, security dependencies, reports, and production relationships.
• Plan controlled modernization phases preserving functionality while reducing debt and disruption.
• Develop and maintain enterprise apps, APIs, services, integrations, and reusable components; investigate defects to root cause.
• Build AI-enabled tools, agents, and workflows using LLM platforms and approved data.
• Evaluate AI output quality and implement validation, logging, monitoring and access controls.
• Support testing and releases across development, test, UAT, and production environments; document systems and deployments, define recovery approaches and communicate status.

Skills

JavaScript

TypeScript

Go

Python

API design

REST services

SQL

Relational databases

Source control

Tools

Jenkins

Job description

Role overview

Modernize enterprise applications while keeping essential business operations reliable. This senior engineering role combines application development and support with phased legacy migration and production-ready AI solutions, from understanding existing systems and dependencies through design, deployment, and ongoing support.

Responsibilities

• Assess legacy applications, including their business behavior, architecture, data, integrations, security dependencies, reports, and production relationships.
• Plan controlled modernization phases that preserve required functionality while reducing technical debt and disruption.
• Develop and maintain enterprise applications, APIs, services, integrations, and reusable components; investigate defects and production issues through to root cause.
• Build AI-enabled tools, agents, and workflows using LLM platforms, approved enterprise data, structured prompting, and tool or function calling where appropriate.
• Evaluate AI output quality and operational suitability; add validation and human review when decisions may be affected, along with logging, monitoring, access controls, and failure handling.
• Support testing and releases across development, test, user acceptance, and production environments; document systems and deployments, define recovery approaches, and communicate status, estimates, risks, and blockers.

Requirements

• Enterprise software development experience with JavaScript, TypeScript, Go, and Python.
• Knowledge of modern application architecture, object-oriented development, legacy modernization, API design, REST services, SQL, and relational databases.
• Experience with source control, CI/CD, deployment, testing, release management, secure development, and production troubleshooting.
• Experience integrating third-party systems and services and collaborating with data, infrastructure, security, product, and support teams.
• Practical AI application experience with several areas such as LLM APIs, agents, prompt design, tool calling, retrieval-augmented generation, embeddings, workflow automation, enterprise integration, or evaluation.

Nice to have

• Microsoft or cloud environments such as Azure or AWS; healthcare or skilled nursing applications; large legacy conversions; database integration; Jenkins; or Power Platform and Copilot tools.