Applied AI Engineer

Pantomath is hiring an Applied AI Engineer (Agents) to build and ship AI agent systems for complex enterprise data problems, from experiments to reliable production deployment.

Responsibilities

• Build and ship AI agents that solve complex enterprise problems and deliver meaningful customer value
• Advance model and agent capabilities using fine-tuning, post-training, and other adaptation approaches for enterprise task performance
• Design experiments and evaluations by building datasets, benchmarks, and feedback loops to measure progress and understand failure patterns
• Develop the systems behind agents, including services, integrations, and infrastructure for reliable execution at scale
• Move promising research into production by owning implementation, deployment, and ongoing improvement
• Improve production performance through practical tradeoffs across quality, reliability, latency, cost, and security
• Partner with engineering, product, and customer-facing teams to identify valuable problems and pursue approaches that work

Requirements

• Experience building and shipping AI systems with substantial hands-on contributions to code, experimentation, and production engineering
• Hands-on post-training experience using tools such as PyTorch, Hugging Face Transformers, TRL, and PEFT
• Ability to apply supervised fine-tuning and parameter-efficient adaptation such as LoRA, plus preference optimization and/or reinforcement learning
• Practical experience with LLMs, agent systems, and model evaluation
• Experience adapting or training models with attention to data quality, experimental design, and generalization
• Exposure to training and evaluation data pipelines, synthetic data generation, or human feedback systems
• Working knowledge of agent orchestration, tool use, retrieval, or inference optimization
• Comfort working with enterprise data platforms, distributed systems, or production AI infrastructure
• Familiarity with distributed GPU training and efficient inference using FSDP, DeepSpeed, or vLLM, plus reproducible experimentation and model evaluation
• Strong software engineering fundamentals and proficiency in Python, TypeScript, or comparable languages
• Ability to read research, reproduce useful results, and judge whether approaches translate to real-world performance
• Comfort owning ambiguous problems and moving between research exploration and product delivery
• Clear communication, technical judgment, and a collaborative approach

Technologies

• Python, TypeScript
• PyTorch
• Hugging Face Transformers
• TRL, PEFT, LoRA
• LLMs
• FSDP, DeepSpeed, vLLM

About Pantomath

• Pantomath is building the autonomous layer for enterprise Data Operations
• Agents catch data incidents, trace them to root cause across the stack, and resolve them using operational context across your entire stack
• Backed by a $30M Series B led by General Catalyst (with Sierra Ventures, Bowery Capital, Epic Ventures, and Hitachi Ventures)
• Pioneering the move from passive data monitoring to real-time, autonomous incident resolution

Equal Opportunity & Accommodations

• Pantomath is an Equal Opportunity Employer
• Employment decisions are based on qualifications, merit, and business needs
• Reasonable accommodations are available for qualified individuals during the application and interview process or throughout employment
• To request an accommodation, contact the Head of People

FLSA Compliance

• This position is classified as Exempt under the Fair Labor Standards Act (FLSA)
• Not eligible for overtime compensation
• Pay range: USD 150,000 - 230,000 per year

Location: San Francisco, CA (onsite)