This role focuses on designing and building agentic systems that power creative workflows for short-form video, building agents that can take creative actions on a user's behalf.
Responsibilities
Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability
Design agent architectures — how agents gather context, plan, select tools, and execute creative tasks reliably at scale
Integrate state-of-the-art models, combining internal research and external capabilities to power new agent experiences
Measure and improve agent quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iteration
Lead the strategy and build-out of Expedia Group’s AI evaluation framework, ensuring every AI experience meets a high standard of clarity, accuracy, and trust.
Locations (2)
Seattle, Washington, United States
San Jose, California, United States
Compensation
The total cash range for this position in Seattle is $224,000.00 to $313,500.00. Employees in this role have the potential to increase their pay up to $358,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance. The total cash range for this position in San Jose is $242,000.00 to $338,500.00. Employees in this role have the potential to increase their pay up to $387,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Define Expedia Group’s AI evaluation framework, principles, and adoption strategy
Build tools and workflows that support reliable, scalable measurement across brands
Partner with engineering and data science on metric design, instrumentation, and model evaluation
Establish clear, durable standards for accuracy, safety, transparency, and performance
Publish evaluation insights, scorecards, and recommendations that shape roadmaps
Build real AI systems, design agentic systems, work across model layer, make AI measurable, make AI production ready, solve context problem, secure agent actions, own problems end to end, stay close to code, shape Postman’s AI platform.
Build and deploy AI and agentic systems for Postman’s customers, spanning the full AI stack from models to production infrastructure.
Compensation
The reasonably estimated base salary for this role ranges from $300,000 to $350,000, plus a competitive equity package.
Responsibilities
Build real AI systems using LLMs, agents, MCP, APIs, tool calling, RAG, vector search, structured outputs, multimodal models, and production AI workflows
Design agentic systems that reason across tools, APIs, enterprise data, and workflows while maintaining identity, permissions, policy, and execution controls
Experiment with foundation models, model routing, inference, prompt and context engineering, fine‑tuning, and trade‑offs between quality, latency, cost, and reliability
Build evaluation systems for agents and LLM applications, including task success, tool correctness, hallucination detection, regression testing, safety, latency, and cost
Implement observability, tracing, guardrails, fallback strategies, rate limits, retries, caching, model gateways, and infrastructure for AI production
Own and build the evaluation platform for Equinix’s AI agents, setting quality standards, building observability, and driving continuous improvement.
Locations (2)
Dallas, Texas, United States
Toronto, Ontario, Canada
Compensation
The targeted pay range for this position in the following location is / locations are:
United States - Dallas Infomart Office DAI : 158,000 - 238,000 USD / Annual
Canada - Toronto Office TRO : 158,000 - 236,000 CAD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Responsibilities
Set the quality bar for agents and system end to end
Turn product requirements into measurable evaluations
Lead the vision, strategy, and delivery of a next-generation AI platform that enables scalable, secure, and compliant AI solutions across multiple product teams.
Compensation
The base compensation range for this role in the posted location is 191583 - 272584
Responsibilities
Define and execute the AI platform strategy, roadmap, and operating model.
Lead platform services including model serving, agent runtime, workflow orchestration, tenancy, metering, and governance.
Drive build-vs-buy decisions across AI infrastructure, open-source technologies, and commercial platforms.
Establish AI evaluation, fine-tuning, reinforcement learning, and feedback loops to continuously improve platform capabilities.
Ensure compliance, auditability, security, and responsible AI practices for regulated environments.
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