Applied AI Engineer – Agentic Workflows

Bachelor’s degree in Computer Science or related technical field. Strong programming skills in Python and/or JavaScript/TypeScript. 3+ years of experience building and shipping production software. 2+ years working with LLMs or AI APIs. Hands-on experience with modern LLMs, vector databases, and agent/orchestration frameworks. Practical experience with RAG, agent workflows, evaluation, and performance optimization. Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows, and failure handling. Ability to balance customization and reuse, autonomy, control, cost, latency, and risk. Strong communication skills and experience leading technical discussions.

Turn business workflows into scalable, production-ready agentic AI systems. Design and build LLM-powered agents that reason, plan, and act. Evolve prototypes into stable, reusable solutions. Define and apply evaluation and quality standards. Debug real-world agent behavior and improve prompts, workflows, tools, and guardrails. Contribute to shared frameworks and patterns for consistent delivery.