Lead AI Software Engineer; Agentic Systems & Backend Platforms
Listed on 2026-06-24
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Software Development
Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Software Architect
Lead AI Software Engineer (Agentic Systems & Backend Platforms)
Location: Farmington Hills, Michigan (Hybrid)
Duration: Long-Term Contract
About the OpportunityJoin a leading financial services organization building next-generation AI-powered engineering platforms. This role offers the opportunity to shape how AI-driven systems operate safely, reliably, and at scale across enterprise environments.
Role OverviewWe are seeking a hands‑on Lead AI Software Engineer to design and build backend services, APIs, and governance components that support agentic AI systems. This position focuses on defining enforcement patterns, validation frameworks, and guardrails that ensure AI-enabled applications behave securely and predictably across distributed architectures.
Key Responsibilities- Design and develop scalable backend services and APIs supporting AI‑driven workflows.
- Define enforcement, validation, and filtering mechanisms across multiple services.
- Build shared platform components and cross‑service governance controls.
- Improve observability through structured logging, metrics, monitoring, and distributed tracing.
- Establish interface contracts and architectural standards adopted across engineering teams.
- Mentor engineers on defensive programming, failure handling, and secure design practices.
- Collaborate with architects and engineering teams to drive platform consistency and reliability.
- Python
- Type Script
- AWS (Lambda, Fargate, API Gateway)
- API Design & Development
- Software Deployment & SDLC Best Practices
- Cross‑Service System Design
- Observability (Logging, Metrics, Tracing)
- Experience building production‑grade cloud applications.
- Strong understanding of system reliability, scalability, and failure management.
- Agentic AI or multi‑agent workflow development.
- LLM integration and AI governance patterns.
- Prompt injection detection and output filtering.
- AWS Bedrock, Agent Core, or related AI platform services.
- Banking
- Enterprise Technology Platforms
The ideal candidate combines strong backend engineering expertise with cloud architecture experience and a passion for AI-enabled systems. They are comfortable leading technical initiatives, mentoring engineers, and establishing engineering patterns that scale across teams and services.
Why Candidates Are Interested- Modern cloud-native technology stack
- High-impact engineering leadership opportunity
- Exposure to agentic AI and emerging technologies
- Collaborative engineering culture
- Long-term project stability and growth potential
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