Remote job
Forward Deployed Applied Scientist II (Agentic AI)
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About this role
Role overview Build and deploy applied AI systems for customers by turning complex business needs into reliable agentic workflows. This customer-facing role spans prototyping, production engineering, evaluation, and feedback to teams developing AI infrastructure and products.
Responsibilities - Design multi-agent workflows, reasoning loops, and tool-enabled language model systems for real customer problems. - Work with customer technical leaders to clarify requirements and shape dependable AI solutions. - Prototype agent frameworks and harden them for production use, including systems with persistent state or memory. - Create reusable evaluations and safety controls to measure accuracy, security, latency, and cost. - Translate deployment challenges and customer feedback into improvements for AI and machine learning products. - Validate platform capabilities across inference, runtimes, orchestration, GPU infrastructure, and deployment workflows; report gaps and scaling issues to product, engineering, and research teams.
Requirements - At least six years of hands-on experience in applied AI, machine learning, or data science. - Demonstrated experience with multi-agent orchestration, tool use or function calling, structured outputs, dynamic planning, and persistent memory. - Strong production Python skills, including experience with tools such as Pydantic, FastAPI, asyncio, and PyTorch. - Clear technical communication and the ability to explain AI trade-offs to engineering and executive audiences. - Willingness to travel up to 30% for customer work, workshops, conferences, and internal collaboration.
Nice to have A master’s degree or PhD in a relevant technical field; experience with deep learning frameworks, distributed training, agent frameworks, transformers, or state space models; research contributions such as publications or patents; and experience working with customers, model vendors, or ecosystem partners on benchmarking, optimization, fine-tuning, or launch readiness.
Benefits and work setup The role is described as hybrid. The listed base salary range is $167,000–$209,000; eligible employees may also receive a bonus and equity. Benefits vary by location and include flexible time off, employee assistance, learning resources, and support for relevant training or conferences.