AI Senior Software Engineer
Listed on 2026-06-21
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Software Development
AI Engineer (Applied/Software), Software Engineer, Full Stack Developer, Machine Learning/ ML Engineer
General information
# 22535
Remote? No
Ally and Your CareerAlly Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion.
From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too?
At Ally, you get a startup feel, but experience the benefits of a company that has worked out the kinks and is fulfilling its purpose. We are always evolving and see that as a good thing. From owning our work to seeing its impact in the real world, our team is relentless in finding new ways technology can help make experiences better and help people.
We are problem solvers, we value diverse thinking, we support one another, and we challenge ourselves to think bigger in the journey to deliver customer-obsessed tech solutions. To read more about what our tech team does, be sure to visit our tech blog h
Provides significant contributions in the design, coding, testing, support and debugging of new software or enhancements to existing software.
At this time, Ally will not sponsor a new applicant for employment authorization for this position.
The Work Itself- Build AI-native platform capabilities on AWS
- Design event-driven services for bursty, variable workloads
- Pair with internal engineers on architecture and design reviews
- Shape day-to-day team practices around agentic coding tools
- Produce reusable patterns and components other teams adopt
- Collaborates with other developers and provides significant contributions to develop specifications to resolve business client questions, problems, and to address enhancement needs.
- Uses technical knowledge, creativity and company practices and priorities to obtain solutions to complex problems.
- Interfaces with senior management to provide and obtain information and to build consensus regarding project direction.
- Interacts directly with business clients.
- Serves as a mentor to lower-level developers.
Minimum Qualifications:
- 3+ years of relevant experience
- Bachelor’s Degree Computer Science, Software Engineering, in relevant field(s) of study or equivalent.
Preferred Qualifications:
- 4+ years of software development experience, including hands‑on use of AI-assisted development tools (e.g., Git Hub Copilot, Claude Code, Cursor, or equivalent agentic coding platforms).
- Experience using agentic coding tools. Production use of Claude Code, Open Code, Cursor, or equivalent. Comfortable with MCP servers, context strategy, and prompt/workflow design.
- Proficiency across all phases of an AI-augmented SDLC — including AI-assisted design, prompt-driven code generation, automated testing, and AI-accelerated debugging and implementation.
- Experience writing and reviewing software design specifications, with the ability to leverage AI tools to accelerate requirements generation, documentation, and solution elaboration.
- Ability to rapidly scope, prototype, and validate working software using AI-accelerated development patterns (Scope -> Build -> Show).
- Ability to translate business context and organizational intelligence into well-structured AI prompts, user stories, and technical requirements.
- Comfortable acting as a technical authority who can guide teams on responsible and effective use of AI coding tools and agentic workflows.
- Knowledge of standard change management tools and processes, including AI-assisted documentation and automated deployment pipelines.
- Ability to collaborate effectively in a team environment, including pairing with AI agents and contributing to shared AI-driven codebases.
- Advanced hands-on experience applying AI tools to real-world engineering problems, with demonstrated ability to ship working software faster through AI augmentation.
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