Guild.ai · 3 weeks ago
AI Engineer, Agents & Evaluation
United States
Full-time
Remote
Mid, Senior Level
2+ years expGuild.ai is seeking its first AI Engineer focused on agents and evaluation to shape the development of intelligent systems. The role involves designing evaluation frameworks, orchestrating agent strategies, and collaborating across teams to enhance agent performance.
Artificial Intelligence (AI)Developer PlatformDeveloper ToolsGenerative AISoftware
Responsibilities
Create Task Evaluations That Matter: Design and implement task-specific evaluations that measure and improve agent quality. Each eval should both drive concrete iteration on our agents and spark broader innovation around the task itself
Define Tasks, Datasets, and Harnesses: Clearly specify tasks, collect and curate balanced datasets, and build robust evaluation harnesses that can be used across agents and modeling approaches. There is ample room for architectural design and systems thinking here
Build and Use a Reusable Evaluation Framework: Develop frameworks and tools for running evaluations at scale. Use these frameworks to tune existing agents and to guide the development of new ones in our environment
Explore Agent Orchestration Strategies: Investigate and implement orchestration patterns (tooling, routing, decomposition, multi-agent setups, etc.) that allow agents to tackle increasingly complex, multi-step, and long-horizon tasks
Apply Post-Training Techniques: Experiment with post-training approaches (e.g., fine-tuning, preference optimization, reward shaping, distillation) to produce high-performance models tailored to specific tasks and workflows
Run Experiments End-to-End: Design, run, and analyze experiments with rigor. Turn experimental results into clear recommendations and concrete changes to model configurations, prompts, and system design
Collaborate Deeply Across the Stack: Work closely with founders, product, and infrastructure engineers to ensure evaluations, agents, and platform primitives all reinforce each other
Qualification
Required
MS or Ph.D. in a relevant field (e.g., Computer Science, Machine Learning, NLP) or equivalent practical experience
Strong background in machine learning and large language models, ideally including both research and hands-on implementation
2–5 years working with LLM technology, with familiarity across: Prompting and interaction patterns, Agent and tool orchestration strategies, Evaluation strategies for complex, open-ended tasks
Proficiency writing production-quality code, especially in Python; comfort working with TypeScript or modern web/backend stacks
Experience designing and running experiments, and interpreting results in messy, real-world settings
Self-motivated, comfortable operating in an unstructured, high-ambiguity environment
Strong communication skills and the ability to translate vague goals into concrete, testable setups
Preferred
Experience building agentic systems (tool-using agents, workflows, or multi-agent systems) in real products
Prior work on model evaluation frameworks, benchmarking, or reliability/robustness testing
Familiarity with modern ML tooling (training/inference stacks, experiment tracking, data pipelines)
Contributions to open-source LLM, tooling, or evaluation projects
Experience at an early-stage startup or research lab where you owned projects end-to-end
Benefits
Significant equity in an early-stage, venture-backed startup
Comprehensive Health Benefits (Medical, Dental, Vision)
Flexible PTO to ensure you have the time you need to recharge
Company
Guild.ai
AI, Software Development
2-10 employees
Funding
Current Stage
Early StageTotal Funding
$0M2025-09-01Seed· $0M
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