openqareer

Forward Deployed Engineer

RRC · Удалённо · United States

# Forward Deployed Engineer **RRC** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Forward-Deployed-Engineer]` `[Software-Engineer]` `[AI-Engineer]` `[Solutions-Engineer]` `[Technical-Engineer]` `[Remote-Forward-Deployed-Engineer]` `[Forward-Deployment-Engineer]` `[Forward-Deploy-Engineer]` `[Forward-Deployed-Engineering]` `[Mid-Level-Forward-Deployed-Engineer]` `[Forward-Deployed-Software-Engineer]` `[Deployed-Engineer]` --- ### About the Role 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 Forward Deployed 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 Originally posted on Himalayas

Наблюдалась 2026-10-17, впервые 2026-10-17, источник — Himalayas (JSON API).

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