Solutions Engineer

RRC; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

RRC - Ruiz Recruiting & Consulting is assisting a venture-backed startup pioneering AI-driven workflow solutions for enterprise operations. As a Solutions Engineer, you will partner with strategic enterprise customers to design, implement, and scale custom AI Operator solutions that translate complex business requirements into robust technical architectures.

You will own the end-to-end build: integrating AI systems with enterprise data sources, configuring orchestration graphs, and shipping

Qualifications

• 4+ years of professional software development, AI systems design, or data/solutions engineering.
• Strong proficiency in Rust OR JavaScript, Python, SQL, and systems integration.
• Experience delivering production-grade applications that unify data pipelines, AI features, and user-facing interfaces.
• Hands-on experience integrating commercial AI APIs (Anthropic, OpenAI, Gemini).
• Excellent communication with technical peers, operational leaders, and executives.
• US-based location.

Responsibilities

• Architect custom solutions aligning with customer infrastructure and engineering best practices.
• Build, configure, and extend core platform primitives for production-grade workflows.
• Deploy end-to-end data pipelines, LLM interfaces, operator portals, and audit-ready logging.
• Develop agentic features and AI-powered automation with human-in-the-loop gates where needed.
• Embed with customers to ensure smooth adoption and measurable outcomes.
• Collaborate cross-functionally with Deployment Strategists, Product, and Sales from pre-sales to live production.
• Scale the platform by packaging accelerators and deployment patterns.

Skills

Software development

AI systems design

Data engineering

Systems integration

Tools

Rust

JavaScript

Python

SQL

Job description

RRC - Ruiz Recruiting & Consulting is a specialized recruitment firm trusted by startups and enterprise-level companies nationwide. We're working with a leading venture-backed startup pioneering the next generation of AI-driven workflow for enterprise operations.

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.

What You Will Do (The Impact)

• 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.

What You Bring (Basic Qualifications)

• 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

RRC is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.