AI Software Developer

Aquent

Ann Arbor (MI)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Health plans (subsidized)
Vision and dental plans
Paid sick leave
Retirement plan with 401(k) match

Job summary

Aquent is seeking an AI Engineer to help shape the future of financial technology. You will design, develop, and deploy AI-powered applications and services that scale. The role emphasizes responsible AI, security, and governance while delivering high-impact solutions for millions of users.

Join a mission-driven team focused on innovation and collaboration, with opportunities to work on state-of-the-art AI, LLMs, and agent frameworks in a dynamic financial services setting.

Qualifications

  • 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: 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.

Responsibilities

  • 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, semantic search, and knowledge retrieval.
  • Build APIs, microservices, and backend services for AI workloads.
  • Evaluate and optimize AI model performance, cost, and latency.
  • Develop automated testing, monitoring, and observability for AI apps.
  • Collaborate with product owners and stakeholders to translate requirements.

Skills

Python
Java
C#
TypeScript/JavaScript
REST APIs
CI/CD
Observability

Education

Bachelor's degree

Tools

Azure
AWS
GCP

Job description

Partner with Aquent to join a leading organization at the forefront of financial services innovation. This company is dedicated to empowering individuals and institutions through advanced technology, delivering cutting‑edge solutions that shape the future of finance. You’ll be part of a mission‑driven team that values innovation, collaboration, and making a tangible impact on millions of users.

Are you a passionate AI Engineer ready to transform the financial landscape with intelligent solutions? We’re seeking a talented individual to dive into the exciting world of artificial intelligence, where your expertise will directly contribute to designing, developing, and deploying state‑of‑the‑art AI‑powered applications and services. 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.

Key Responsibilities
  • 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.
Required Qualifications
  • 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.

Please note: This position is available on a W‑2 employment basis only and is not open to Corp‑to‑Corp (C2C) arrangements. The client is also unable to provide employment‑based visa sponsorship or transfers for this role.

About Aquent Talent

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match.

Aquent is an equal‑opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment‑one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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