Software Engineer, AI

About the role

Engineering Roles at Pylon

Pylon operates as an agentic support platform dedicated to B2B operations. The company delivers infrastructure that allows humans and AI agents to collaborate on customer work. Pylon enriches every interaction with deep account-level context, automates low-impact tasks, and surfaces answers proactively. The platform is designed to improve continuously, producing faster responses and higher customer satisfaction. Pylon reports backing from a16z, BCV, General Catalyst, and Y Combinator. The company states that over 1,500 organizations, including Linear, Cognition, Modal Labs, and Incident.io, use Pylon. The platform also appears on the Enterprise Tech 30 List.

Role Mission

The company seeks engineers to build features that enable post-sales teams to operate more efficiently. The role focuses on leveraging AI to streamline support and customer success workflows. Engineers will construct prototypes and iterate rapidly to ship new capabilities. A core responsibility involves building the platforms that power Pylon's AI features, including prompt execution and search infrastructure. Improving LLM observability is central, requiring work on AI evals, scorers, and scaling preparations. The position grants high autonomy, allowing individuals to own projects from start to finish. Collaboration with product managers, designers, and engineers occurs in a non-waterfall setting. The team works closely with senior engineers from companies such as Samsara, Affinity, Airbnb, and Meta.

Position Requirements

Candidates must possess 3 or more years of experience building product features. A strong foundation in full-stack development is mandatory. Individuals must demonstrate high proficiency with AI-assisted software development while managing multiple workstreams. Startup experience in ambiguous environments is essential. The role requires strong product sense and the ability to convert customer needs into technical decisions. A growth mindset and receptiveness to feedback are necessary. Candidates must be willing to relocate to San Francisco or be already located there. A commitment to in-person collaboration and culture building is required.

Preferred Qualifications

Bonus qualifications include familiarity with the company's tech stack, specifically React, Golang, GraphQL, and AWS. Experience building agentic products in production environments is also noted as advantageous.

Compensation and Benefits

The base salary range for this position is $180,000 to $280,000 annually. Compensation may vary based on candidate qualifications, skills, and experience. Base pay forms one part of the Total Package, which includes stock options and a comprehensive benefits package. Specific benefits include commuter benefits, parental leave, 14 company holidays plus unlimited PTO, an annual offsite, office lunch and dinner, and a fitness stipend.

Company Information

Pylon completed a Series B funding round led by a16z and BCV, raising $51 million in total. The founders are Advith Chelikani, Robert Eng, and Marty Kausas. The company currently employs over 100 people and is actively growing.

Additional Job Information

This role involves owning the full journey of customer support within Pylon. The work transforms complex tickets into informed product decisions. Engineers will design intake paths that direct customer issues to appropriate agent workflows and human owners. The position requires architecting modules for prompt executions and search infrastructure to ensure AI reliability. Crafting review dashboards to expose AI evaluations and signals is part of the role. Orchestrating ship routines with cross-functional partners is necessary. The position also involves forging integrations with platforms like Linear, Devin, Modal Labs, and Incident.io. Championing observability by defining guardrails, tests, and feedback loops is critical for scaling AI support.

About the company

Pylon Labs builds the only agentic support platform designed for B2B companies. It connects humans and agents so teams can investigate, resolve, and act on every signal across all channels.

The company supports customer operations as AI-native tools expand. Teams use structured playbooks, clear ownership, and shared context to coordinate work and continuously refine how customer requests move through the system.