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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Developer - **Company:** Aquent - **Location:** Ann Arbor, MI, United States - **Experience:** Experienced - **Salary:** $99,466.0 - $110,510.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Computer Programming, Continuous Integration, Software Design Patterns, Python (Programming Language), Machine Learning, Search Technologies, Software Engineering, Systems Integration, TypeScript, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Backend, Kubernetes, Information Technology, Restful APIs, Docker, Microservices - **Published:** August 18, 2026 - **Apply:** https://www.careerjet.com/job/usfffc22af63302e3604739cea7a18f1a7/eaa ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. * 3-6 years of software development experience. * 2+ years of experience building AI/ML or Generative AI applications. * Strong programming skills in one or more of: Python, Java, C#, TypeScript/JavaScript. * Experience developing REST APIs and distributed services. * Experience working with cloud platforms such as Azure, AWS, or GCP. * Strong understanding of software engineering fundamentals, including design patterns, testing, CI/CD, security, and observability. Nice-to-Have Qualifications * Experience with LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini. * Experience building AI agents, integrations, tool calling frameworks, or multi-agent workflows. * Experience with RAG architectures and vector databases. * Familiarity with prompt engineering and evaluation frameworks. * Experience with containerization and orchestration technologies like Docker, Kubernetes, or Cloud Run. * Experience working in Agile development environments. ## Description Are you a passionate professional ready to transform the financial landscape with intelligent solutions? This is your chance to build scalable AI solutions using modern machine learning, generative AI, and agent frameworks, making a significant impact on our products and the experiences of our users. As a key contributor, your expertise will directly drive the design, development, and deployment of state-of-the-art AI-powered applications and services that will shape the future of finance. What You'll Do * Design, develop, test, and deploy AI-enabled applications and services, ensuring high quality and reliability. * Build and integrate Generative AI solutions utilizing large language models (LLMs) to create innovative features. * Develop sophisticated AI agents, workflows, prompts, tools, and orchestration frameworks. * Implement retrieval-augmented generation (RAG), semantic search, and knowledge retrieval solutions to enhance information access. * Build robust APIs, microservices, and backend services to support complex AI workloads. * Evaluate, benchmark, and optimize AI model performance, quality, cost, and latency for peak efficiency. * Develop automated testing, monitoring, and observability solutions for AI applications, ensuring operational excellence. * Collaborate closely with product owners and business stakeholders, translating requirements into impactful technical solutions. * Implement responsible AI, security, privacy, and governance controls within AI solutions, upholding ethical standards. * Contribute to architectural decisions, coding standards, and engineering best practices, shaping our technical direction. * Provide essential support for AI applications in production, participating in troubleshooting and incident resolution. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn)