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. 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. By joining this forward-thinking team, you will have the unique opportunity to shape the future of finance, building scalable and secure AI services from the ground up and driving transformative change that significantly boosts both developer and customer productivity.

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

• 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

• 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.