Solutions Engineer
RRC Inc
About the job Solutions Engineer
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.
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.
- 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
Vacancy posted 2 days ago
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