Senior AI Developer

Overview Placement Type: Temporary Salary: $81.90-91 Hourly Start Date: Jun 28, 2026 Aquent is partnering with a leading financial services organization that is at the forefront of a significant technical transformation. This company is dedicated to modernizing its core technology infrastructure and challenging the status quo in the finance industry, ultimately building intelligent systems that directly impact millions of people's financial security. Are you ready to redefine the future of financial technology and make a tangible impact on critical systems? Aquent is seeking a visionary Senior AI Developer to join a dynamic team at the intersection of cutting‑edge AI technology and complex financial domains. In this pivotal role, you will lead AI‑focused workflows across the System Development Life Cycle, driving innovation and efficiency in how we build and deliver solutions. Your contributions will directly enhance the reliability and performance of systems that underpin our operations, ensuring a secure and seamless experience for our customers. This is an exciting opportunity to leverage your expertise to shape the next generation of financial technology and empower our mission. What You'll Do: Lead the integration and application of Generative AI coding assistants throughout the System Development Life Cycle, from implementation and refactoring to unit testing, regression support, code reviews, scripting, automation, troubleshooting, and documentation. Drive the adoption of AI assistance for common development tasks, including code suggestions, test generation, review support, and automation scripts, while maintaining clear ownership for correctness and quality. Pioneer the use of Generative AI to reduce context switching and accelerate delivery across various workflows, extending beyond just writing new code. Apply practical familiarity with leading AI coding tools within IDE/CLI‑style workflows. Develop and implement agentic workflows and spec‑driven development methodologies, translating low‑level design artifacts into structured specifications that guide AI‑assisted implementation. Establish team‑level practices for effective AI‑assisted development, including custom instructions and prompt engineering. Contribute to the modernization of core technology infrastructure and play a key role in IT transformations from legacy to distributed platforms. Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of innovation and continuous improvement. Must‑Have Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 7+ years of professional software engineering experience actively developing large‑scale software using Java, Spring framework, cloud development, and Web Services supporting high‑volume transactions in a highly available environment. 2+ years of hands‑on experience with AI/ML implementation and production deployment. 6+ years of experience working with containers and microservices in the cloud. 6+ years of experience in cloud deployment within a continuous integration and continuous delivery (CI/CD) model. 2+ years of experience with cloud platforms like AWS or GCP. 2+ years' experience working with databases such as MongoDB, Aerospike, and/or PostgreSQL. 2+ years prior experience in IT transformations and system modernization initiatives from legacy to distributed platforms. Hands‑on experience with Large Language Models. Demonstrated exposure to, or hands‑on experience with, Generative AI coding assistants used across day‑to‑day engineering workflows in the SDLC, applying engineering judgment and validation. Working knowledge of agentic workflows, spec‑driven development, and custom instructions and prompt engineering, with the ability to establish team‑level practices for effective AI‑assisted development. Understanding of broker‑dealer capabilities and operations. Excellent communication skills and a proven ability to communicate and lead other engineers in a collaborative environment. Collaborative mindset coupled with a bias for action to effectively engage with fellow developers, architects, and adjacent teams. Nice‑to‑Have Qualifications: Master's degree in Information Technology, Computer Science, or a related degree, or related practical experience. Good knowledge of messaging technologies. Experience in the Financial Services industry. Experience in Test Driven Development, QA Automation, and a strong quality mindset and behaviors. Proficient in developing diagrams, architectural and design documentations, functional and technical specifications, and automated test processes. Willingness to learn all aspects of the tech stack and document findings. Ability to research and document production and test environments along with architecture and design work. Knowledge of Agile methodology and experience in an Agile working environment. Experience with collaboration and project management tools. 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. #J-18808-Ljbffr Skill