AI Systems Engineer (Agentic Platforms)

Quick Facts

• Role: AI Systems Engineer (Agentic Platforms)

• Focus: Production AI/agentic systems, RAG, evaluation, and optimization

Description

Join a Data Science & AI team building enterprise-scale, measurable AI solutions. You will develop and deploy AI models and agentic applications end-to-end—from requirements gathering and data preparation to prompt/agent design, deployment, and production optimization. You’ll also partner with business stakeholders and continuously evaluate and improve model and system performance.

Responsibilities

• Design, develop, fine-tune, and deploy AI models and agentic applications for business use cases

• Build scalable AI solutions that can be maintained in production

• Collaborate with business teams to gather requirements and translate them into technical solutions

• Communicate methodologies, recommendations, and results to technical and non-technical audiences

• Implement best practices for evaluating AI systems (accuracy, latency, scalability, reliability, cost)

• Monitor and optimize deployed solutions to maximize performance and business value

• Develop and maintain robust data pipelines for training and inference

• Ensure data quality via preprocessing, labeling, and validation

• Stay current with AI/ML/LLM advancements and assess emerging tools/frameworks

• Mentor junior engineers and data scientists and share AI engineering best practices

Benefits

• Opportunity to shape the organization’s AI capabilities and contribute to new AI-powered products

• Work in a fast-moving environment delivering high-impact, production-ready solutions