Software Developer - Mid-Level

Our client, a leading technology organization specializing in innovative AI solutions, is seeking a Mid-Level AI Engineer to join their dynamic team. As a Mid-Level AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge AI-powered applications and services. The ideal candidate will demonstrate strong technical expertise, problem-solving skills, and a collaborative spirit, which will enable you to thrive within a forward-thinking environment committed to excellence and innovation.Job Title:Mid-Level AI Engineer / AI DeveloperLocation:Ann Arbor, MIPay Range: $47/hr What's the Job?Design, develop, test, and deploy AI-enabled applications and services that meet business needs. Build and integrate Generative AI solutions utilizing large language models (LLMs) and related frameworks. Develop AI agents, workflows, prompts, tools, and orchestration frameworks to enhance automation and intelligence. Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to improve data accessibility. Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency to ensure efficiency and reliability. What's Needed?Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. 3–6 years of software development experience with a focus on AI/ML or Generative AI applications. Strong programming skills in Python, Java, C#, or TypeScript/JavaScript. Experience developing REST APIs and distributed services, with familiarity in cloud platforms such as Azure, AWS, or GCP. Solid understanding of software engineering fundamentals including design patterns, testing, CI/CD, security, and observability. What's in it for me?Opportunity to work on innovative AI projects that impact real-world applications. Collaborate with a talented team of professionals in a supportive and inclusive environment. Gain experience with the latest AI technologies and cloud platforms. Participate in a flexible work model with a mix of onsite and remote work options. Contribute to projects that promote responsible AI, security, privacy, and governance standards.