AI Engineer​/Architect

By Tilak Kasturi

Aug 25, 2026

Senior | Agentic AI & Applied ML

US-based — CA preferred, open to West Coast + remote. Hybrid-friendly.

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  .

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.

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.

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…