Senior Forward-Deployed AI Engineer (CUA)

Snorkel AI, Inc.; New York, Northern (NY, KY); Hybrid; USD 180,000 - 320,000; Full time

Job summary

Snorkel AI in New York is seeking a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic‑AI initiatives. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery.

You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Qualifications

• 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role.
• Strong Python skills and experience building reliable production software, data, or ML systems.
• Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA).
• Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions.
• Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards).
• Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack.
• Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery.
• Strong technical communication skills and experience working directly with customers or cross-functional stakeholders.
• Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions.

Responsibilities

• Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
• Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
• Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
• Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
• Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
• Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Skills

Python

Production systems

LLM/Agentic systems

Technical communication

Experimentation & evaluation

Tools

Data pipelines

Experimentation frameworks

Job description

Snorkel AI in New York is seeking a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic‑AI initiatives. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery.

You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.