Senior Software Engineer

Empower • Overland Park, KS

1d • $105,700 - $149,275 • Hybrid

About The Position

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT. We are seeking a Senior Software Engineer with hands-on experience applying Generative AI within software engineering workflows. This role will contribute directly to the development and expansion of our agentic AI capabilities focused on improving the Software Development Lifecycle (SDLC). The ideal candidate brings a strong foundation in software engineering along with practical experience building or implementing GenAI-driven solutions. You should be comfortable working in emerging agentic architectures while grounding solutions in sound engineering principles, maintainability, and measurable impact. This is a hands-on role for an engineer who understands both how software is built and how AI can responsibly accelerate it.

Requirements

• 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.

Nice To Haves

• Experience designing and implementing full-stack systems with Java, Spring, Springboot, or other Java frameworks.
• Experience with code modernization or large-scale refactoring initiatives.
• Familiarity with evaluation techniques for LLM or agent performance.
• Experience building internal developer tools or automation platforms.
• Cloud platform experience (AWS preferred)

Responsibilities

• 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).

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed