> Markdown version of [/jobs/ext/3608321-software-developer-mid-level](https://www.wearedevelopers.com/jobs/ext/3608321-software-developer-mid-level). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Developer - Mid-Level - **Company:** Randstad - **Location:** Ann Arbor, MI, United States - **Experience:** Experienced - **Salary:** $97,365.0 - $103,605.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Computer Programming, Continuous Integration, Software Design Patterns, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Software Architecture, OpenAI, Search Technologies, Software Engineering, Systems Integration, TypeScript, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Backend, Agentic-AI, Git, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Claude, Virtual Agents, Api Design, Google Gemini, Restful APIs, Software Version Control, Docker, Microservices - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/672f22e0-d9bc-492d-a719-55eceacf80e9 ## About the Role The ideal candidate combines strong software development skills with hands-on experience building, integrating, and operating AI solutions in production environments., agent frameworks,AI agents,Agile development environments,AWS,API Design,AI,AI solutions,Automated Testing,C#,Anthropic Claude,Cloud & Infrastructure,Strong programming skills,containerization and orchestration,CI/CD,Docker,enterprise software,Event-Driven Architecture,generative AI,Generative AI applications,Retrieval-Augmented Generation (RAG),Git,Gemini,Identity and Access Management,Computer Science,Java,JavaScript,Kubernetes,LLM,Large Language Models,LLMs,machine learning,Microservices,Azure,Model Evaluation,Monitoring and Observability,Multi-agent,Object-Oriented Design,OpenAI,prompt engineering,Python,REST APIs,RAG,Vector Search,AI-powered applications,Design patterns,software development skills,Software Engineering,software development,Source Control,integrating,TypeScript,AI Agent,Benchmarking,Data Science,evaluation frameworks,software engineering fundamentals,scalable AI solutions,Testing,vector databases,workflows ## Description We are seeking a Mid-Level AI Engineer to design, develop, and deploy AI-powered applications and services. This role will work closely with software engineers, product managers, architects, and data teams to build scalable AI solutions using modern machine learning, generative AI, agent frameworks, and enterprise software engineering practices., Design, develop, test, and deploy AI-enabled applications and services. - Build and integrate Generative AI solutions using large language models (LLMs). - Develop AI agents, workflows, prompts, tools, and orchestration frameworks. - Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions. - Build APIs, microservices, and backend services supporting AI workloads. - Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency. - Develop automated testing, monitoring, and observability for AI applications. - Collaborate with product owners and business stakeholders to translate requirements into technical solutions. - Implement responsible AI, security, privacy, and governance controls within AI solutions. - Contribute to architectural decisions, coding standards, and engineering best practices. - Support AI applications in production and participate in troubleshooting and incident resolution.