AI Engineer

• Build a centralized reliability command center that gives teams a unified view of system health, risk, and reliability across services and environments
• Create AI agents that can assist with incident triage, root-cause exploration, log/trace summarization, and recommended next actions
• Create developer-facing features and APIs that help engineers explore data, debug issues, and make better decisions
• Use AI-assisted development tools (e.g., Cursor, Claude, Copilot) as leverage to prototype, refactor, and ship high-quality code quickly
• Own projects end-to-end: requirements, architecture, implementation, testing, rollout, and iteration based on feedback
• Collaborate closely with partner teams (Product, Infra, Data, SRE) to understand pain points and translate them into simple, powerful solutions

Senior Software Engineer, AI

Software Engineer, AI

• Own the design and delivery of high-performance, low-latency APIs and microservices powering vehicle history (VHR), VIN intelligence, and transaction systems.
• Build and scale Java/Spring Boot services in a cloud-native AWS environment.
• Architect and implement event-driven systems using Kafka/SQS to support asynchronous processing and data pipelines.
• Lead development of complex features, platform enhancements, and proof-of-concepts that drive business impact.
• Implement and improve CI/CD pipelines, automated testing, and observability.

Senior Software & AI Engineer

• Design, build, and maintain evaluation pipelines for production AI agent systems
• Instrument multi-agent workflows with tracing and observability tooling
• Build evaluation datasets using real production traffic and interaction logs
• Develop quality scoring and robustness scoring systems for LLM outputs
• Improve reliability of AI systems handling non-deterministic model behavior
• Implement and optimize HITL (Human-in-the-Loop) escalation workflows
• Analyze production failures and drive architectural improvements
• Own the full feedback loop between evaluations, prompt optimization, architecture updates, and re-testing
• Contribute to prompt engineering and model optimization strategies
• Collaborate on multi-agent orchestration and workflow reliability decisions
• Work across backend systems, deployment pipelines, monitoring, and operational sustainment
• Participate in production support and on-call responsibilities
• Maintain high engineering standards around scalability, observability, and maintainability
• Operate independently across development, testing, deployment, and production ownership

Applied AI Engineer

• Build and ship full-stack AI applications: Create frontend experiences and backend systems that power real AI capabilities, iterating based on performance and user feedback
• Own the full lifecycle: Take projects from idea through production deployment, ensuring quality, reliability, and scalability
• Build foundational infrastructure: Develop search/retrieval services, tool execution layers (MCP servers), workflows, and intelligent agents
• Establish measurement systems: Create feedback loops and performance tracking to continuously improve AI system behavior
• Solve complex problems: Debug issues across the stack, identify root causes, and implement robust solutions

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Senior Software Engineer, AI

Software Engineer, AI

Senior Software & AI Engineer

Applied AI Engineer

Senior Fullstack AI Engineer