Toma AI Announces Senior/Staff Engineer Hire to Accelerate AI Automotive Coworkers

Toma, a fast‑growing venture from Y Combinator’s Winter 2024 batch, has opened applications for a senior‑level software engineer. The role is designed to shape the technical direction of Toma’s AI automotive coworkers—intelligent agents that automate dealership workflows, enhance customer interactions, and drive revenue for thousands of car dealers across the United States.

With a small, high‑impact team and a vision to become the “operating system for car dealerships,” Toma is looking for engineers who thrive in fast‑paced environments, love building production‑grade AI services, and are eager to mentor junior talent.

Founded in early 2024, Toma emerged from the YC W24 highlights as a solution for an industry that has long been underserved by modern software. The founders—serial entrepreneurs with deep AI expertise—identified a massive productivity gap in the automotive retail sector, where 18,000+ dealerships still rely on manual processes.

Since its inception, Toma has raised a seed round, assembled a 20‑person engineering squad, and begun piloting its platform with a handful of flagship dealers. The company’s mission is to replace legacy CRM tools with a fully autonomous AI coworker that can:

• Generate real‑time sales scripts based on inventory and market trends.
• Answer customer queries via voice and chat, 24/7.
• Automate paperwork, financing, and post‑sale follow‑ups.

For a deeper look at how AI is reshaping automotive operations, see the Enterprise AI platform by UBOS, which shares architectural patterns similar to Toma’s stack.

AI automotive coworkers are generative‑AI agents that act as virtual sales assistants, finance specialists, and service advisors—all within a single platform. Built on large‑language models (LLMs) and multimodal perception pipelines, these agents can understand spoken language, interpret vehicle data, and generate context‑aware responses.

Key technical pillars include:

1. LLM‑driven dialogue engine: Powered by OpenAI’s GPT‑4 and fine‑tuned on dealership transcripts.
2. Real‑time voice synthesis: Integrated via the ElevenLabs AI voice integration for natural‑sounding phone conversations.
3. Knowledge graph backend: Uses Chroma DB integration to store vehicle specs, pricing rules, and compliance documents.
4. Automation workflow engine: Orchestrated through the Workflow automation studio, enabling drag‑and‑drop creation of dealer‑specific processes.

These components combine to give each dealership a “digital teammate” that can scale from a single lot to a multi‑state network without additional headcount.

For a practical example of a similar AI‑driven workflow, check out the AI SEO Analyzer template, which demonstrates how LLMs can parse unstructured data and output actionable recommendations.

The senior engineer will own the technical roadmap for Toma’s AI coworker suite, mentor a growing team of full‑stack developers, and partner closely with product, design, and dealer success teams.

Core Responsibilities

• Design and implement scalable micro‑services that power real‑time voice and chat agents.
• Lead the integration of LLM APIs, including OpenAI ChatGPT integration, ensuring low latency and high reliability.
• Mentor engineers through code reviews, design sessions, and pair‑programming.
• Collaborate with the AI automotive coworkers product team to translate dealer feedback into feature specs.
• Maintain CI/CD pipelines using the Web app editor on UBOS for rapid prototyping.

Ideal Candidate Profile

• 6+ years of professional software development, with at least 3 years in TypeScript/Node.js ecosystems.
• Deep experience with LLM‑centric architectures (GPT, Claude, or similar).
• Proficiency in cloud‑native services (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Track record of building production‑grade AI pipelines that handle millions of requests per month.
• Strong communication skills and a passion for mentoring junior engineers.

Even if you don’t meet every bullet, Toma encourages “growth‑mindset” applicants to apply—especially those who can demonstrate curiosity about AI‑driven automotive solutions.

Toma offers a competitive total‑reward package designed to attract top talent in the AI space.

Toma also provides a vibrant office culture with daily catered meals, weekly “innovation sprints,” and regular field trips to partner dealerships.

Interested candidates should submit their résumé and a brief cover letter through the official application portal. The interview process is streamlined to respect busy schedules:

1. 20‑minute introductory screen with the founding team.
2. 45‑minute technical deep‑dive (live coding & system design).
3. 4‑hour virtual or on‑site “day‑in‑the‑life” simulation, where candidates pair with current engineers on a real feature.
4. Final offer discussion and equity briefing.

Applications are reviewed on a rolling basis. Early applicants often receive faster feedback.

To start the process, visit the UBOS partner program page for a quick link to Toma’s hiring portal (the portal is hosted on the same domain for security). For a direct link to the original job posting, see the original job posting.

Toma’s AI coworker platform is poised to become a cornerstone of modern dealership operations. By hiring a senior engineer now, the company ensures that its technology scales safely, remains cutting‑edge, and continues to deliver measurable ROI for partners.

For engineers passionate about blending AI with real‑world impact, this position offers a rare chance to shape an industry‑transforming product from the ground up while working alongside a team that values mentorship, rapid iteration, and bold experimentation.

Ready to join the AI automotive revolution? Apply today and help Toma turn every car lot into a smart, autonomous sales floor.