Agent Engineer

Agent engineering

We are looking for an experienced and ambitious software engineer to help us extend and scale the foundations of our AI system in order to power new user capabilities and provide the best possible AI user experience for our customers. Agent engineering is focused on high leverage projects that span data, LLM operations, ML engineering, and product.

We're open to multiple levels of experience for this role. More than anything, we're looking for people who are a great fit for Poggio.

Required skills

• Analytical thinking, creative problem solving, product orientation, and strong collaboration
• Track record of partnering successfully with cross-functional stakeholders
• Expert level proficiency in multiple programming languages, including modern Python
• A nuanced understanding of the capabilities and limitations of large language models, gained through hands-on experience
• Experience with LLM observability and SME-aligned AI system evals
• Experience architecting or building data pipelines and information retrieval systems
• Working knowledge and ability to apply data processing, retention, and privacy policies

Role expectations

• Exhibit a strong desire to win as a team
• Be extremely curious, open-minded, and action oriented with regards to driving experimentation
• Collaborate with other engineers and designers on delivering AI capabilities up and down the stack in service of our product and users
• Systematically work to improve AI system performance metrics, and help design new metrics aligned with our product initiatives
• Explore, champion, and apply emerging techniques from applied AI and AI systems research
• Wear a lot of hats — expect to touch everything: infra, data pipelines, multi-modal indexing, retrieval, agents, tools, observability, evaluations, user interfaces ,and more

Example projects

• Work directly with subject-matter experts to build ground-truth datasets for eval calibration
• Implement support for emerging agent interoperability standards such as MCP and A2A
• Optimize data extraction performance of document pipelines
• Work directly on agent performance: develop robust retrieval planning algorithms and tool interfaces
• Augment our system's multi-modality capabilities (read/write audio, video, diagrams, structured documents)

Benefits

• Unlimited, Flexible PTO
• Remote-first with option to work in co-working spaces or our SF HQ
• At least biannual off-sites to work together as a team
• Health care plan (Medical, Dental, Vision)
• 401k plan with employer matching
• Annual Wellness Stipend: $1200 per year for your choice of wellness-related expenses such as gym memberships, massages, fitness equipment, ski pass, etc.

Compensation

Competitive salary and equity according to leveling assessment, calibrated to Tier-1 U.S. market data.

Our Interview Process

• Application (You are here): Our talent team will review your application to see how your skills and experience align with our needs.
• Recruiter Meeting (30 min video call): Our goal is to explore your motivations to join our team, learn why you'd be a great fit, and answer questions about us.
• Intro Call (30 min video call): You'll meet with a member of the engineering team to discuss the company, team, and evaluate core skills necessary for success in this role.
• Technical Interview (60 min video call): You'll meet someone from the engineering team who will evaluate your technical skills. This is a live coding interview.
• Cross-functional Interview (45 min video call): You will meet with someone from outside of engineering to discuss your past experience working in cross functional product development teams.
• System Design Interview / Manager Meeting (60 min video call): You'll meet with the hiring manager to discuss system design and other aspects of the role.