Senior Software Engineer

Empower

Senior Software Engineer applying Generative AI within software engineering workflows at Empower. Designing and enhancing AI-powered solutions for the Software Development Lifecycle.

Posted 5/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $105,700 - $149,275 per yearWebsite

Tech Stack

Tools & technologies

CloudJavaSDLCSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Design, build, and enhance GenAI-powered solutions that facilitate and accelerate SDLC workflows (e.g., code transformation, unit and integration testing, automation, quality improvements).
Work with and evaluate agentic AI frameworks such as Claude Code, LangChain, Strands, and similar platforms, recognizing different problems may require different architectural approaches.
Build solutions using Model Context Protocol (MCP) to orchestrate tasks across disparate systems and actors using agent-based workflows and orchestration patterns.
Integrate AI agents with enterprise developer tools (e.g., Git-based platforms, CI/CD systems, internal engineering utilities).
Evaluate AI-generated outputs for correctness, maintainability, performance, and alignment with engineering standards.
Collaborate with engineering teams to identify practical, high-impact use cases for AI within the SDLC.
Apply strong software engineering practices to all AI-enabled systems (testing, versioning, observability, reliability).

Requirements

What you’ll need

Strong experience as a software engineer, building and delivering production-grade applications or tools.
Deep expertise in at least one modern backend technology stack (Java, Spring, Springboot preferred), with demonstrated ability to adapt across diverse technologies and cloud-native environments.
Demonstrated experience applying Generative AI to real-world engineering problems, particularly within the SDLC.
Hands-on experience working with agentic AI systems, tool-augmented agents, or workflow automation using LLMs.
Experience with modern LLM ecosystems and frameworks (experience with Claude Code strongly preferred; familiarity with Anthropic, OpenAI, GitHub Copilot agents, or similar platforms is valuable).
Practical experience with Model Context Protocol (MCP) and secure integration patterns.
Experience integrating systems via APIs and working with Git-based repositories and CI/CD pipelines.
Ability to critically assess AI-generated code and automation outputs.
Strong collaboration and communication skills.

Benefits

Comp & perks

Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year
Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringbackend technology stackJavaSpringSpringbootGenerative AIModel Context ProtocolAPI integrationworkflow automationLLM ecosystems

Soft Skills

collaborationcommunicationcritical assessment