Senior Software Engineer
Listed on 2026-10-20
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Software Development
Backend Developer, AI Engineer (Applied/Software)
At First Electronic Bank (FEB or Bank), we are driven by the purpose to make credit accessible to everyday Americans and their businesses. Partnering with some of the most innovative fintech companies in the nation, we offer a wide range of consumer and commercial credit and deposit products on a national basis. Offering deposit accounts and debit cards, revolving lines of credit, private-label credit cards, installment financing programs and more, FEB engages with strategic, collaborative partners, promoting services and products to provide the most beneficial consumer and commercial financing solutions.
First Electronic Bank (FEB) is seeking a highly capable software engineer to independently lead ambiguous, high-impact initiatives that deliver FEB's internal applications, secure APIs and services, fintech integrations, and agent-based capabilities from problem definition through measurable production outcomes. We're looking for a senior engineer who builds real business applications, connects systems through APIs, and uses AI agents as a practical part of delivering software.
This is not an AI research or prompt engineering role. Instead, we're seeking a hands-on builder who knows how to leverage AI to accelerate development while applying sound engineering judgment to validate outputs, manage context and handoffs, and ensure production-quality results.
In this role, you will build polished user interfaces and robust backend services that connect enterprise systems and orchestrate workflows across approved MCP servers. You'll own application design, development, release readiness, and operational outcomes while working within Engineering and Infrastructure standards and the bank's cloud control framework. You will also help transform successful solutions into reusable patterns, frameworks, and best practices for the broader team.
This role is ideal for an experienced engineer who combines strong software engineering fundamentals with a pragmatic approach to AI-assisted development in production environments.
Representative work:
Build and enhance internal applications with production-quality front-end and backend services; integrate fintech and enterprise platforms through secure APIs; prototype targeted AI-enabled workflows; and develop an extensible tool-routing layer that supports multiple approved MCP servers.
- Own complex application work streams end to end: clarify the problem and success measures; design secure APIs, services, and data exchanges within established architecture; manage dependencies and risk; and drive delivery through adoption, production support, troubleshooting, and proactive improvement.
- Production accountability: Own application reliability, operational readiness, runbooks, model usage, and post-release remediation; partner with Infrastructure on environments, CI/CD guardrails, identity, networking, secrets, observability, capacity, incidents, and cloud costs.
- Agent workflows: Provide authoritative context, manage task state and handoffs, and configure multi-step workflows with sequencing, branching, retries, checkpoints, tracing, and approvals; route work to approved MCP servers and tools based on task and permissions.
- Agentic coding: Use Git Hub Copilot or comparable coding agents to delegate work, supply repository context, review generated changes, and retain human ownership of quality, security, and release decisions.
- Verification and controls: Use tests, end-to-end verification, security review, evaluations, and monitoring; enforce sensitive-data handling, least privilege, audit evidence, rollback, and human approval before consequential actions.
- Applied prototyping: Periodically work with business users to prototype internal applications…
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