AI Native Engineer Senior Associate

About the Role

We’re looking for a Senior AI Engineer to join our team. In this role, you’ll design, build, and deploy intelligent systems that solve real business problems; from LLM-powered applications and retrieval pipelines to predictive models and data-driven automation. You’ll bring together software engineering rigor and applied AI expertise to deliver production-grade solutions in client environments.

Whether your background is in software engineering, data science, machine learning engineering, or a blend of disciplines, this role is for builders who want to work at the frontier of applied AI: translating complex business challenges into scalable, reliable, AI-native systems that create measurable outcomes.

What You’ll Do

• Partner with clients and cross-functional teams to translate business problems into AI solutions, defining scope, success metrics, and technical approach
• Design, build, and deploy AI-enabled applications, services, and workflows, including LLM-powered systems, retrieval pipelines, and intelligent automation
• Develop and maintain the APIs, backend services, and data pipelines that power scalable AI and analytical systems
• Drive model evaluation, prompt engineering, data preparation, and system testing to ensure quality, reliability, and continuous improvement
• Contribute to infrastructure and deployment workflows for AI systems in cloud environments
• Strengthen engineering culture through code reviews, architectural documentation, mentoring, and evolving team best practices

What We’re Looking For

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
• 4+ years of professional experience in software engineering, data science, machine learning engineering, or a related technical discipline
• Demonstrated experience building and deploying AI-enabled or data-intensive production systems
• Experience with modern backend or data frameworks (e.g., FastAPI, Node.js)
• Strong experience with SQL and relational or analytical data systems
• Experience working in cloud environments (e.g., AWS, Azure, GCP)
• Familiarity with Git-based version control, CI/CD pipelines, and modern development workflows
• Strong written and verbal English communication skills

Preferred Qualifications

• Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques
• Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)
• Experience with the ML lifecycle — experimentation, evaluation, monitoring, and deployment (MLOps)
• Experience designing and maintaining large-scale data pipelines, analytical platforms, or data-intensive systems
• Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)