AI Systems Engineer — Production-Ready AI & Agents

SDL Tech Search; Boston (MA); On-site; USD 120,000 - 170,000; Full time

Job summary

SDL Tech Search seeks an experienced AI Engineer to join its Data Science & AI team in Boston. You will partner with business stakeholders to design, develop, and deploy enterprise-scale AI solutions that improve decision-making and operational efficiency.

The role covers requirements gathering, data prep, prompt engineering, agent-based design, deployment, and production optimization, with emphasis on scalable, measurable business impact.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related technical discipline.
• Several years of hands-on experience developing and deploying ML, NLP, or AI solutions in production environments.
• Strong Python development skills for AI/ML applications and backend systems.
• Knowledge of React or similar frameworks for user-facing AI apps.

Responsibilities

• Design, develop, fine-tune, and deploy AI models and agentic applications addressing business needs.
• Build scalable AI solutions for production environments.
• Collaborate with business teams to gather requirements and translate them into technical solutions.
• Establish and monitor evaluation metrics for AI applications (accuracy, latency, scalability, cost).
• Develop and maintain data pipelines supporting training and inference.

Skills

Advanced Python

React

Mentoring

Communication

Analytical thinking

Education

Bachelor's or Master's in Computer Science/Data Science/ML

Tools

Pinecone

Docker

Kubernetes

Terraform

MLflow

Weights & Biases

XGBoost

Scikit-Learn

Job description

SDL Tech Search seeks an experienced AI Engineer to join its Data Science & AI team in Boston. You will partner with business stakeholders to design, develop, and deploy enterprise-scale AI solutions that improve decision-making and operational efficiency.

The role covers requirements gathering, data prep, prompt engineering, agent-based design, deployment, and production optimization, with emphasis on scalable, measurable business impact.