AI Agent Engineer

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.

But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.

The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.

At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.

Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now!

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Design, develop and deploy AI agents on Databricks , owning the full lifecycle from prototyping to production – including versioning, monitoring, and maintenance of multiple agents running in parallel

Build and maintain robust evaluation frameworks using MLflow's evaluation suite, implementing and customizing judges (built-in, guideline-based, and custom) to systematically assess agent quality across correctness, safety, and business-specific criteria

Drive continuous quality improvement of AI agents through structured offline evaluation pipelines (curated datasets, benchmarks) and online production monitoring, leveraging MLflow tracing to understand agent execution patterns

Collect, structure and incorporate human feedback from diverse stakeholder groups (engineering, quality, business) into evaluation workflows and agent improvement cycles

Collaborate with Data Engineers, IT, and R&D to define data configurations and pipelines that feed AI agents with reliable, high-quality inputs

Leverage and combine multiple data sources (on-site, off-site, connected vehicle data) to build agents that identify trends, anomalies, and quality signals at scale

Surface agent outputs and quality insights to Quality business stakeholders through dashboards and visual reporting tools, translating complex model behavior into understandable and actionable information

Identify and close data quality gaps , ensuring that data feeding into agents is clean, consistent, and continuously improving through well-defined requirements and automated checks

Location & Travel Expectations :

This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC .

This role requires 4-5 days per week in the office, with regular in-person meetings and events.

Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

Bachelor's Degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field – or equivalent practical experience

4+ years of experience in MLOps, AI/ML engineering, or data engineering in production environments

Experience designing and executing evaluation workflows for non-deterministic AI systems, including both offline (dataset-based) and online (production monitoring) evaluation strategies

Solid understanding of LLM concepts relevant to agent quality: hallucination, grounding, retrieval quality, tool use reliability, safety

Technical Skills

Hands-on experience developing and deploying AI agents on Databricks (Mosaic AI / Databricks Agent Framework), including multi-agent architectures and agent lifecycle management

Deep expertise in MLflow : Tracking, Model Registry, Deployments, Evaluation framework (built-in, guideline & custom judges) and Tracing for agent observability

Strong proficiency in Python and agent development frameworks (e.g. LangChain, LlamaIndex, AutoGen, or similar)

Proficiency in SQL and cloud-based storage systems (Delta Lake, Unity Catalog, or equivalent)

Familiarity with CI/CD practices for ML systems (model versioning, automated testing pipelines, deployment gates)

Experience with BI tools (e.g. Sigma, PowerBI) (nice to have)

Experience building RAG pipelines including Vector Store integration (e.g. Databricks Vector Search), embedding models and chunking strategies (nice to have)

Familiarity with Streamlit or Gradio for lightweight internal tooling (nice to have)

Knowledge of responsible AI / AI governance frameworks (nice to have)

Soft Skills & Ways of Working

Strong communication skills – able to translate technical evaluation results into clear, business-relevant insights for quality and engineering stakeholders

Structured problem-solving mindset with the ability to define methodologies, prioritize independently, and drive assignments to completion with minimal supervision

Comfortable operating in multidisciplinary, fast-moving environments with ambiguous requirements

Growth mindset – eager to stay current with the rapidly evolving AI agent and LLMOps landscape

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up . This is a chance to create something new and lasting – with an iconic brand at its foundation . In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

Competitive insurance including:

Medical, dental, vision and income protection plans

401(k) program with:

An employer match and immediate vesting

Generous Paid Time Off including:

20 days planned PTO, as accrued

40 hours of unplanned PTO and 14 company or floating holidays, annually

Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders

Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $95,000.00 - $120,000.00

Internal Leveling Code: IC9

Notice to applicants:

To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.

Residing in San Francisco : Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.

Residing in Los Angeles : Scout Motors will cons