Description

As a Senior Forward Deployed/Fullstack Engineer, you will engage directly with clients to understand their needs, prototype solutions, and develop scalable applications that enhance AI testing and evaluation in both cloud and on-premise environments.

Requirements

• •3+ years of professional experience as a full stack engineer
• •Strong proficiency in JavaScript/TypeScript with React and Python
• •Experience developing scalable backend services and frontend applications
• •Familiarity with building modular systems and integrating third-party ML/AI services
• •Excellent problem-solving skills in ambiguous contexts
• •Experience with Docker, build pipelines, and packaging software for deployment
• •Hands-on experience with Kafka for data streaming or event-driven messaging
• •Experience with job orchestration frameworks
• •Familiarity with Kubernetes for container orchestration and deployment
• •Strong understanding of CI/CD tooling and version control
• •Ability to engage directly with customers and communicate clearly
• •Understanding of deploying in air-gapped or restricted environments
• •Clear communication and collaboration across teams
• •Experience working in defense, government, or highly regulated environments
• •Familiarity with ML/AI development lifecycles and evaluation pipelines
• •Experience with tools like ComfyUI, LangChain, or custom RAG/LLM agent tooling
• •Knowledge of cloud-native infrastructure and hybrid deployment models
• •Exposure to testing automation frameworks and monitoring tools
• •Understanding of user authentication and secure access control patterns

Tasks

• •Interface with end-users and domain experts to identify pain points
• •Rapidly prototype and test ideas for feasibility and solution fit
• •Act as a technical advisor and trainer for clients
• •Design and build robust, maintainable applications using NodeJS and React
• •Extend existing services based on customer needs, including backend APIs and microservices
• •Create user interfaces for configuring and visualizing AI test runs
• •Provide input on common services for the central platform
• •Collaborate with AI scientists to integrate ML models and monitoring tools
• •Package applications for air-gapped, on-premise deployment
• •Implement CI/CD workflows to enhance development and release cycles
• •Ensure solutions are testable, versioned, and maintainable
• •Assess feasibility of proposed solutions and suggest alternatives
• •Contribute to the architectural direction of Resaro’s testing stack

Tools & Technologies