Forward Deployed Engineer

About the Role We are seeking a Forward Deployed Engineer to serve as both an AI Solutions Architect and hands-on builder, partnering directly with product, engineering, and business teams to rapidly transform high-value ideas into production-ready AI solutions. This role focuses on delivering real-world AI applications, agentic systems, and automation solutions that drive measurable business outcomes. Success in this position is measured by the speed and reliability of delivering AI solutions from concept to production, the scalability and maintainability of deployed systems, and the impact these solutions create across the organization. Responsibilities Design and deliver AI-powered solutions across enterprise workflows and customer-facing platforms.Build LLM-enabled applications, agentic systems, workflow automations, and Retrieval-Augmented Generation (RAG) solutions.Integrate AI into production environments utilizing APIs, microservices, and event-driven architectures.Rapidly prototype, iterate, and scale solutions into reliable production systems.Develop human-in-the-loop workflows for high-impact or high-risk use cases.Build and integrate APIs that extend AI capabilities across internal platforms.Partner with stakeholders to translate complex business challenges into deployable AI solutions.Ensure systems are designed with reliability, observability, scalability, and cost-awareness in mind.Contribute reusable frameworks, patterns, and accelerators that improve delivery efficiency.Deploy and support cloud-native applications utilizing containerization and CI/CD practices. Qualifications Required 7+ years of experience in software engineering, solution architecture, or AI/ML systems.Proven experience building and deploying production AI and LLM-powered applications.Hands-on expertise integrating LLMs into real-world applications, including prompt engineering, evaluation, optimization, and API-driven architectures.Experience building or deploying RAG solutions and agent-based AI systems.Strong backend development experience with Python (FastAPI or similar frameworks) and Node.js.Working knowledge of React and front-end integration patterns.Experience with cloud platforms, preferably Microsoft Azure.Experience with Docker, containerization, and CI/CD pipelines.Familiarity with Kubernetes or similar orchestration technologies.Experience deploying and supporting cloud-native applications. Preferred Experience with LLM orchestration frameworks such as LangChain, LangGraph, or similar tools.Experience with event-driven systems, queues, workflow orchestration, and durable execution patterns.Familiarity with AI observability, including latency, cost, and token usage monitoring.Knowledge of AI governance, safety, and responsible AI practices.Experience partnering with enterprise-scale data, platform, and engineering teams. Why Join Us High-impact role focused on delivering production AI solutions rather than research projects.Opportunity to solve meaningful business challenges with measurable outcomes.Unique combination of architecture, software engineering, and stakeholder engagement.Ability to influence and accelerate AI adoption across the organization.Opportunity to create reusable frameworks and best practices that scale across multiple teams.Collaborative environment working closely with product, engineering, and business leaders.Focus on building scalable, maintainable, and observable AI systems that drive long-term value.