Solutions Engineer at RRC in Los Angeles, California, United States

Job description

• As a Solutions Engineer, you will partner directly with our most strategic enterprise customers to design, implement, and scale custom AI Operator solutions that solve complex, real-world business challenges. Sitting at the intersection of product, engineering, and customer operations, you will translate intricate business requirements into robust technical architectures.
• You will own the technical build end-to-end: integrating AI systems with enterprise data sources, configuring our dynamic orchestration decision graphs, and shipping production-grade solutions that seamlessly coordinate data, rules, AI, and human-in-the-loop workflows.

Responsibilities

• Architect Custom Solutions: Lead design decisions to build secure, scalable, and compliant workflows on our platform, aligning directly with customer infrastructures and engineering best practices.
• Build & Configure: Program, configure, and extend core platform primitives to construct live, production-grade workflows that route tasks across static rules, AI models, humans, and third-party APIs.
• Deploy End-to-End: Ship fully integrated solutions encompassing data pipelines, LLM interfaces, customized operator portals, and immutable system event-logging for absolute traceability.
• Develop Agentic Features: Stand up custom, AI-powered automation sequences designed to resolve high-consequence operational work, integrating human-in-the-loop gates wherever risk or complexity demands it.
• Embed with Customers: Work hand-in-hand with customer teams—from frontline operational specialists to C-suite executives—to deeply understand their systems, ensure smooth adoption, and prove measurable business outcomes.
• Collaborate Cross-Functionally: Partner closely with internal Deployment Strategists, Product teams, and Sales to guide customers seamlessly from initial pre-sales scoping to live production.
• Scale the Platform: Package custom customer implementations into reusable accelerators, frameworks, and deployment patterns to accelerate future deliveries and directly influence our core product roadmap.

Requirements

• Proven Engineering Depth: 4+ years of professional software development, AI systems design, or data/solutions engineering experience.
• Tech Proficiency: Rust experience strongly preferred OR strong skills with Javascript, Python, solid SQL capabilities, and comfort across systems integration.
• Production Delivery: Professional/Non-Professional experience designing, building, and deploying production-grade applications that unify data pipelines, AI/ML features, and user-facing frontend interfaces.
• Hands-on AI Integration: Direct experience integrating commercial AI APIs (such as Anthropic, OpenAI, or Gemini) into functional enterprise systems.
• Strong Client-Facing Communication: Exceptional communication skills with the ability to build trust with technical peers, operational leaders, and executive stakeholders alike.
• US-Based: Located in the United States

Skills

Required

• Rust (strongly preferred)
• Javascript
• Python
• SQL
• Systems integration
• Production-grade application development
• Data pipelines
• AI/ML features
• User-facing frontend interfaces
• Exceptional communication skills
• Client-facing communication

Preferred

• Rust experience strongly preferred