Applied AI Engineer (Agentic Workflows)

TL;DR

Applied AI Engineer (Agentic Workflows): Designing, building, and deploying production-grade AI agents for enterprise customers at scale, powered by Large Language Models (LLMs) with an accent on reliability, observability, safety, and auditability. Focus on integrating LLMs with tools, APIs, and data sources to deliver concrete business value in enterprise workflows.

Location: Remote

Company

Our mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises.

What you will do

• Work with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.
• Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.
• Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.
• Define and apply evaluation and quality standards to measure success, failures, and regressions.
• Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.
• Contribute to shared frameworks and patterns that enable consistent delivery across customers.

Requirements

• Bachelor’s degree in Computer Science or a 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.

Nice to have

• Experience working in a fast-moving startup environment.
• Prior work delivering AI or automation solutions to enterprise customers.
• Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques.
• Experience with cloud deployment and production operations for AI systems.
• Background in applied ML, NLP, or decision systems.

Culture & Benefits

• An open and inclusive culture and work environment.
• Work closely with a team on the cutting edge of AI research.
• Weekly lunch stipend, in-office lunches & snacks.
• Full health and dental benefits, including a separate budget to take care of your mental health.
• 100% Parental Leave top-up for up to 6 months.
• 6 weeks of vacation (30 working days!).