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Senior Software Engineer

Onsite or remote • Atlanta+2💼 Full-time🗓 2026-06-24

Core

Building the conversational AI product stack and internal tools for navigators at an early-stage company.

Role type

Senior Software Engineer (AI-native)

Builds

Web platform chat experience, navigator case management tools, resource matching engine, and production LLM APIs.

Domain

AI-native development, conversational AI, LLM integration

Deliverable

production ML models | product features

Required skills

LLM API integration, prompt engineering, structured output design, model evaluation, latency and cost optimization, end-to-end feature ownership, code review, system architecture, data modeling, on-call incident response

Preferred skills

Experience with early-stage startup environments, user feedback integration, mentoring junior engineers

Technologies

LLMs, APIs, web platforms

Responsibilities

Design and ship LLM-powered features in production, architect data models and infrastructure, review code and mentor junior engineers, collaborate with CTO and product stakeholders to define scope, monitor user sessions and prioritize fixes, manage on-call rotation

Seniority

Senior, hands-on IC

Rewrite
## About the role As a Senior Software Engineer at OakPath, you'll build the product across the stack. You'll work directly with our CTO and a small founding team on everything from the conversational AI experience to the internal tools our navigators use every day. You'll ship code, talk to users (and navigators) about what's working, and have a real say in how the product evolves. This is a hands-on building role at an early-stage company. You'll write the code, review pull requests, instrument what you ship, and own features end-to-end. We're moving toward a July 2026 V1.0 launch in Sarasota, Florida, so the first few months will be heads-down execution with a clear target. After launch, you'll help shape what V2 looks like. You'll be comfortable with AI-native development. We use LLMs in the product and in how we build. You should have real experience designing prompts, evaluating model outputs, and integrating LLM APIs into production systems, not just experimenting on the side. ## Responsibilities - Build features end-to-end across our web platform: the chat experience users see, the navigator-facing case management tools, the resource matching engine, and the APIs that connect them. - Design and ship LLM-powered features that actually work in production: prompt design, structured outputs, evaluation harnesses, latency and cost tuning, fallbacks when models misbehave. - Help architect data models, infrastructure, and tooling that let us learn from every user interaction and improve the product week over week. - Review code, pair on hard problems, mentor more junior engineers when they join, and help establish engineering practices that scale past the first hires. - Collaborate with the CTO, navigators, CMO, and CEO to translate user needs into shippable software. Push back when scope is wrong. Suggest the simpler thing. - Watch user sessions, instrument what you build, and use that data to prioritize what to fix or improve next. - Share the on-call rotation once we're live. Things will break. You'll help fix them.
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