LLM Platform Engineer

📋 Job Overview

Help define the future of hardware development! At AllSpice, we're building the automation engine that powers the next generation of circuit design, enabling breakthroughs in smart vehicles, robotics, rockets, IoT, medical devices, and more. We're creating the agile development environment for hardware engineers with a Git-friendly translation layer and automated CI/CD framework for native circuit designs. Think GitHub/GitLab + Copilot for electronics. Our mission is to bring the same modern workflows that revolutionized software: version control, automation, and collaboration to the hardware world. Learn more about our journey in TechCrunch and our recent Series A announcement. If you're passionate about building tools that empower teams and delight customers, and you want to shape the foundation of modern hardware DevOps, we'd love to meet you! Read more at https://allspice.io

🏢 About AllSpice

AllSpice is a company focused on revolutionizing hardware development through automation and modern workflows, bringing software-like practices to the hardware world.

🎯 The Role

This is a senior, high-impact software engineering role at the intersection of AI platform development, data engineering, and full-stack product development. You will own the tooling, evaluation systems, and data platforms that make AllSpice's Generative AI team more effective. Your primary users will be internal engineers and product managers, with opportunities to build customer-facing experiences where they support our AI products. We’re looking for someone who can identify the right problems, make thoughtful technical decisions, and take solutions from discovery through implementation, adoption, and ongoing improvement. As you build domain knowledge and establish the AI platform foundation, we’d also like you to grow into contributing directly to AllSpice’s core product alongside the product engineering team. This is an aspirational growth opportunity, not a prerequisite or the role’s initial primary focus.

✅ Key Responsibilities

• Partner with engineers and product managers to discover workflow bottlenecks, prioritize the highest-impact problems, and own solutions end-to-end—from requirements and architecture to rollout and iteration.
• Own the evaluation and observability layer for our AI products, including automated and human review workflows, regression detection, and comparisons across models, prompts, and pipelines. Make quality, cost, latency, usage, and customer outcomes visible and actionable.
• Build usable internal applications and self-service tools that help engineers and product managers inspect AI results, investigate failures, and provide feedback. Where useful, extend these capabilities into customer-facing experiences.
• Build and maintain scripts, reliable data pipelines, and integrations that connect internal systems, third-party services, LLMs, and Model Context Protocol (MCP) tools, with attention to data quality, schema evolution, and customer data privacy.
• Write clear documentation and communicate findings to both technical and non-technical audiences, including leadership and customers.
• Champion code quality, testing, and reliability across the tooling stack through reviews, mentorship, and thoughtful design.

📌 Required Qualifications

• 4+ years of software engineering experience with a focus on tooling, data platforms, or full-stack web development, with demonstrated senior-level ownership of systems or products that other people depend on.
• Strong SQL skills and experience designing data pipelines and storage schemas, handling data quality and schema evolution, and using data/analytics tools (e.g., Jupyter, Metabase, Looker, or similar BI platforms).
• Proficiency in Python scripting and automation for data pipelines, integrations, and internal tools.
• Experience building web applications or customer-facing tools using modern frameworks (e.g., Vue, React, TypeScript).
• Practical experience shipping or maintaining LLM-enabled systems and building infrastructure around them, such as evaluation pipelines, observability, or integrations. You understand non-

⭐ Desirable Experience

• Experience with hardware design or hardware development workflows.
• Experience with Git and Git-based workflows.
• Experience with CI/CD systems (e.g., GitHub Actions).
• Experience with cloud platforms (e.g., AWS).

🎁 Benefits

Salary: $160K – $190K

🛂 Visa & Eligibility

Visa sponsorship may be available.