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Junior Java Microservices Developer Jobs in Rochester, MI

Microservices architecture * Containers (Docker, Kubernetes) * Serverless and event-driven patterns ... Proficiency in Python, Java, or similar backend languages Experience with: * CI/CD pipelines

Develop and maintain backend services, APIs, and microservices * Implement infrastructure as code ... Mentor junior and mid-level engineers and conduct code reviews * Collaborate cross-functionally ...

Integrations EDI Lead Engineer

Troy, MI · On-site +1

$140K - $140K/yr

Mentor and coach junior and mid-level engineers. EDI / FHIR Integration Development * Design and ... Java / C# / Go * Experience with: * REST APIs * Microservices * Event-driven architecture

Integrations EDI Lead Engineer

Troy, MI · Remote

$140K - $140K/yr

Mentor and coach junior and mid-level engineers. EDI / FHIR Integration Development * Design and ... Java / C# / Go * Experience with: * REST APIs * Microservices * Event-driven architecture

Develop and maintain backend services, APIs, and microservices * Implement infrastructure as code ... Mentor junior and mid-level engineers and conduct code reviews * Collaborate cross-functionally ...

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How much do junior java microservices developer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for junior java microservices developer in Rochester, MI is $98,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $98,000.00 per year, depending on experience, location, and employer.
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AI Native Software Engineer

AI Native Software Engineer

Merican

Detroit, MI • On-site

Other

Posted 25 days ago


Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.
Title: AI Native Software Engineer
Duration: 12 Months
Location: Dallas, TX
Work Type: Onsite
Job Type: Temporary Assignment
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)

TekWissen® Group is an equal opportunity employer supporting workforce diversity.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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