Technical Lead, AI Engineering (Sales, Service & Supply Chain)
Lucid Motors10 hours ago
Base Salary
$217k - $318k/yr
Responsibilities
- Own the architecture and production delivery of LLM-based and agentic systems across Sales, Service, and Supply Chain.
- Build assistants, tool-using agents, document and data extraction pipelines, shared services, and platform components.
- Deliver conversational experiences across web, in-app chat, email, and SMS, including context carry-over, threading, handoff, and channel-appropriate tone.
- Translate business problems into engineering plans and work directly with stakeholders to sequence delivery.
- Implement AI safety controls including guardrails, identity-aware access, prompt governance, and trust boundaries.
- Own MCP servers and internal tool interfaces with versioned, permissioned, and testable contracts.
- Define evaluation datasets, regression suites, tracing, telemetry, and quality gates for prompt and model changes.
- Optimize AI unit economics through routing, context trimming, caching, batching, retrieval, cost, and latency controls.
- Integrate AI systems with ERP, supplier, service, CRM, logistics, and planning systems.
- Set engineering standards, mentor engineers, review designs, and lead technical work across distributed teams.
Requirements
- 10+ years of experience building and operating production software and 3+ years owning the technical direction of a team or significant platform.
- Strong Python skills and distributed systems fundamentals, with experience owning services end to end after deployment.
- Production experience with LLM applications, including retrieval-augmented generation, agents, tool calling, structured output, streaming, and prompt iteration under load.
- Hands-on experience with LLM engineering tools such as Langfuse or LangSmith for tracing, prompt versioning, evaluation, and production monitoring.
- Experience building and consuming MCP servers, designing tool schemas, and handling authentication and permissions at tool boundaries.
- Practical experience optimizing LLM costs through model routing, context and prompt compression, caching, batching, and token budgeting.
- Experience delivering AI through customer and employee communication channels such as chat, email, and SMS.
- Ability to evaluate hosted models, managed services, and fine-tuning options based on cost, latency, and accuracy.
- Strong AWS engineering experience or equivalent, including serverless and container workloads, event-driven design, IAM, and networking fundamentals.
- Experience with relational, document, and vector data layers and maintaining retrieval accuracy at scale.
- Experience designing AI evaluation programs and building evaluation harnesses before scaling features.
- Experience working with non-technical stakeholders and translating business intent into system design.
- Preferred experience includes automotive, manufacturing, logistics, SAP, supply chain execution, EDI, field service, CRM, messaging, contact center platforms, security-sensitive AI, multi-agent orchestration, and distributed teams across US and India time zones.
Benefits
- Medical, dental, and vision insurance.
- Life and disability coverage.
- Paid time off, paid holidays, and paid sick leave.
- 401(k) retirement plan.
- Eligible employees may participate in an equity program and/or discretionary annual cash incentive program.
- The posting provides an annual base-pay range of $216,600 to $317,680 for the listed locations.
- The role involves distributed collaboration across US and India time zones.
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About Lucid Motors
Lucid Motors designs, manufactures, and sells premium electric vehicles, including the Lucid Air sedan and Gravity SUV, built on its in-house EV platform. The public company, founded in 2016 and headquartered in Newark, California, sells directly through its website and showrooms and operates manufacturing in Arizona. It also supplies powertrain technology to other automakers and develops software and driver-assistance features for its vehicles.