AI Engineer

Aquent is proud to partner with a premier financial services institution dedicated to empowering individuals and institutions through innovative technology and robust financial solutions. This organization is at the forefront of leveraging artificial intelligence to redefine how they serve their customers and optimize their operations. Joining this team means stepping into an environment that champions innovation, collaboration, and making a tangible impact on cutting-edge AI initiatives that shape the future of finance.

Are you a visionary technologist eager to drive transformative change? We are thrilled to find a talented professional who will be instrumental in shaping the future of AI-powered applications and services for our client. In this dynamic role, you will be at the heart of designing, developing, and deploying cutting-edge AI solutions that directly enhance customer experiences and drive operational excellence. You'll contribute to groundbreaking projects that significantly improve both developer and customer productivity, build scalable and secure AI services from the ground up, and demonstrate full ownership from initial design through to production support. This is an incredible opportunity to collaborate effectively across diverse teams, independently deliver high-quality AI features, and benefit from continuous growth and learning through technical guidance from senior engineers and architects.

What You'll Do

• Design, develop, test, and deploy high-quality, reliable AI-enabled applications and services.
• Build and seamlessly integrate Generative AI solutions leveraging large language models (LLMs).
• Develop sophisticated AI agents, intricate workflows, effective prompts, essential tools, and robust orchestration frameworks.
• Implement advanced retrieval-augmented generation (RAG) techniques, semantic search capabilities, and efficient knowledge retrieval solutions.
• Construct robust APIs, scalable microservices, and powerful backend services capable of supporting demanding AI workloads.
• Rigorously evaluate, benchmark, and optimize AI model performance, ensuring quality, cost-efficiency, and minimal latency.
• Develop comprehensive automated testing, monitoring, and observability strategies for critical AI applications.
• Collaborate closely with product owners and business stakeholders to translate complex requirements into innovative and practical technical solutions.
• Implement responsible AI practices, ensuring stringent security, privacy, and governance controls are embedded within all AI solutions.
• Contribute significantly to architectural decisions, establish coding standards, and champion engineering best practices across the team.
• Provide essential production support for AI applications, participating in troubleshooting and incident resolution to maintain operational excellence.

What You'll Bring (Must-Have Qualifications)

We are seeking an individual with a solid foundation in software development and a proven track record in AI/ML applications. Your expertise will be critical in driving our innovative projects forward.

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a closely related technical field.
• 3-6 years of professional software development experience.
• 2+ years of hands-on experience building AI/ML or Generative AI applications.
• Strong programming proficiency in one or more of the following languages: Python, Java, C#, or TypeScript/JavaScript.
• Demonstrated experience developing REST APIs and distributed services.
• Practical experience working with major cloud platforms such as Azure, AWS, or GCP.
• A strong understanding of core software engineering fundamentals, including design patterns, testing methodologies, CI/CD pipelines, security best practices, and observability.

Bonus Points (Nice-to-Have Qualifications)

These qualifications will set you apart and allow you to hit the ground running, contributing to even more complex and impactful projects from day one.

• Experience with leading LLM platforms such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.
• Proficiency in building advanced AI agents, tool calling frameworks, and multi-agent workflows.
• Experience with RAG architectures and working with vector databases.
• Familiarity with prompt engineering techniques and evaluation frameworks.
• Experience with containerization and orchestration technologies like Docker, Kubernetes, or Cloud Run.
• Experience working within Agile development environments.