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We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.
Job Responsibility:
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 (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions)
Practical experience with RAG, agent workflows, evaluation, and performance optimization
Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling
Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk
Strong communication skills and experience leading technical discussions with customers or partners
Strong written and verbal communication skills
Ability and interest to travel up to 25%, flexible
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
What we offer:
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
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend