Forward-Deployed AI Engineer - Computer-Use Agents

Snorkel AI

New York (NY)

On-site

USD 180,000 - 320,000

Full time

13 days ago

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Job summary

Snorkel AI is seeking a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on agentic‑AI initiatives. You will lead the technical execution of complex engagements, translating product and model challenges into robust tasks, datasets, and evaluation plans to improve agent reliability and performance.

You will drive the full delivery lifecycle from discovery through production, identifying patterns to create reusable capabilities and product

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 building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools.
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

Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions.
Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value.
Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications.
Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders.
Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment.
Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices.