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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Engineer / Architect - **Company:** Predii Inc. - **Location:** Burlingame, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Distributed Systems, Python (Programming Language), Systems Integration, Unstructured Data, Large Language Models, Multi-Agent Systems, Kubernetes, TensorRT, Api Design - **Published:** September 4, 2026 - **Apply:** https://www.disabledperson.com/jobs/74808688-artificial-intelligence-engineer-architect ## About the Role * 5+ years building and shipping production ML/AI systems, with real users depending on the output - not just research or labs. * Hands-on experience building agentic or LLM-powered applications end-to-end, from prototype to production. * Track record architecting shared platforms/services that support multiple product use cases, not single-purpose builds. * Practical experience with evaluation frameworks for AI systems - designing metrics that map to business correctness, not just model benchmarks. * Experience optimizing inference for throughput/latency/cost on open-weight models in production. * Comfort designing safety guardrails and escalation logic for high-stakes, high-consequence recommendations. * Experience integrating with messy, heterogeneous third-party systems (APIs, DMS, ERPs, or similar) as a given constraint. * A self-starter mindset - comfortable owning ambiguity and working independently across a distributed US-India team. BONUS POINTS ???????????????????????????????? * Background in automotive, dealership, or other data-heavy vertical platforms. * Experience with diagnostic, recommendation, or pricing systems where wrong answers have real financial/safety stakes. * Prior work fine-tuning or serving open-weight models at scale (not just calling a hosted API). * Startup or small-team energy - you've owned a product, not just a component. * Technical leadership or mentoring experience. ## Description Predii builds the intelligence layer that runs the automotive service and parts industry. Our platform, Predii 360, turns messy repair-order, DMS, and parts data into real-time intelligence - powering parts lookup, diagnostics, and repair search for dealership and aftermarket customers at scale, processing billions of repair orders and serving live search at sub-second latency. We're small, fast, and allergic to red tape. No 12-layer approval chains, no work that disappears into a backlog forever. If you build something here, it ships - and real customers use it. Learn more at www.predii.com. PREDII RESEARCH ???????????????????????????????? We do real research, not just integration. We continue to submit state-of-the-art research on topics including: engineering-diagram and technical-document understanding, domain-calibrated evaluation frameworks for technical content, multi-agent architectures that optimize for correctness and honesty, detecting "confident-but-wrong" failures that standard monitoring misses, moving from reactive detection to causal, explainable prognosis, and multilingual evaluation of technical and repair content. We've found that multi-agent systems that just concatenate outputs get less trustworthy as they get more capable, so we design ours to contest and qualify each other's findings instead. And we run open-weight models in production at enterprise scale, because repair-grade accuracy shouldn't cost frontier-model money. All of it is deliberately vertical: deep automotive domain expertise applied to automotive problems, not a general-purpose model with an automotive skin. THE VIBE ???????????????????????????????? We need an AI Engineer/Architect who wants more than a model to fine-tune - someone ready to own agentic AI products end-to-end and shape the platform they run on. This is real ownership, not busywork. You'll touch: * Agentic products across dealership operations - technician diagnostics, service advisor recommendations, pricing/inventory intelligence * A shared architecture that supports multiple agentic products, not one-off builds per use case * Inference performance and cost - latency and cost-per-token as design inputs, not afterthought metrics * Evaluation frameworks tuned to what "correct" means for each application * Safety guardrails and escalation paths for decisions with real diagnostic and financial impact * Integration reality across varying DMS/shop management systems Expect to shape architecture and set technical direction, not just execute someone else's roadmap. WHAT YOU'LL ACTUALLY DO ???????????????????????????????? * Own Agentic Products End-to-End - from concept to production, across technician diagnostics, service advisor recommendations, and pricing/inventory intelligence. * Build the AI Layer on Shop/Dealer Systems - agentic applications that reason over past repair orders, monitor DMS activity in real time, and act on unstructured pricing/sourcing data. * Design a Shared Platform - one architecture that supports multiple agentic products, not a pile of bespoke builds per use case. * Build Evaluation Frameworks - tailored to each application (diagnostic accuracy, recommendation relevance, pricing correctness), both offline and in production. * Architect Inference for Scale - high-throughput, low-latency serving on open-weight models; own cost-per-token and latency-per-request as design inputs, not just dashboards to watch. * Define Safety & Escalation - guardrails and human-in-the-loop paths for high-stakes recommendations with diagnostic or financial impact. * Work the Real Integration Surface - varying DMS/shop management system integrations as a core design constraint, not an afterthought., * Models & Serving: Open-weight LLMs (Llama, Mistral, Qwen, or similar), vLLM/TGI/TensorRT-LLM, GPU inference optimization * Agentic Frameworks: LangGraph, LangChain, custom agent/orchestration stacks, tool-use & function calling * Evaluation & Observability: Offline eval harnesses, production monitoring (accuracy, relevance, drift), LLM-as-judge, tracing (LangSmith or similar) * Data & Retrieval: RAG pipelines, vector databases, structured + unstructured data reasoning over repair orders and DMS records * Languages & Systems: Python, distributed systems fundamentals, API design for real-time DMS integrations * Cloud & Infra: Azure/GCP/AWS, containers/Kubernetes, cost and latency instrumentation * Safety: Guardrails, escalation/human-in-the-loop design, risk classification for high-stakes outputs ## Related Videos - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)