AI Native Software Engineer

Detroit, MI - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Job description:

Seeking a hands-on AI Native Software Engineer to design build and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows integrating AI platforms and delivering scalable cloud-native solutions.

Responsibilities:

AI Agent Engineering

Design and implement AI agents including:
Retrieval (RAG)
Orchestration workflows
Tool/function invocation
Policy-based routing
Build evaluation frameworks for accuracy latency and reliability
Implement observability and monitoring for agent lifecycle

AI Platform Integration

Integrate with AI providers (e.g. OpenAI Anthropic Google Vertex open-source models)
Build abstraction layers to support multi-model and multi-provider architectures
Optimize model usage for performance cost and latency

Cloud-Native Development

Develop scalable services using:
Microservices architecture
Containers (Docker Kubernetes)
Serverless and event-driven patterns
Implement CI/CD pipelines and infrastructure as code (e.g. Terraform Helm)
Ensure production readiness logging monitoring and fault tolerance

Application Development

Build and deploy AI-powered applications aligned to business workflows
Integrate AI systems into existing enterprise platforms and APIs
Develop backend services and APIs supporting agent workflows

Testing & Performance

Define and execute test strategies for AI systems
Measure system performance (latency throughput accuracy cost)
Debug and optimize production systems

Required Skills & Experience

8 10 years of software engineering experience
Strong experience with cloud-native systems (APIs microservices containers serverless)
Experience building and deploying AI/LLM-based systems in production (agents RAG orchestration)
Proficiency in Python Java or similar backend languages
Experience with:
CI/CD pipelines
Infrastructure as code
Monitoring and observability tools
Hands-on experience with AI platforms (OpenAI Claude Vertex AI or similar)

Preferred Experience

Experience with agent frameworks (e.g. LangGraph AutoGen CrewAI)
Experience designing multi-agent or distributed AI systems
Familiarity with enterprise-scale system integration
Experience optimizing AI workloads for cost and performance

Scope & Expectations

100% hands-on engineering role (no people management)
Deliver production-quality code and deployments
Work within existing architecture and engineering standards
Collaborate with client and internal engineering teams as needed
Participate in technical design discussions (implementation-focused)

Job description: Seeking a hands-on AI Native Software Engineer to design build and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows integrating AI platforms and delivering scalable cloud-native solutions. Responsibil...