Software Engineer - Full Stack/Backend

Job description

Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. ### Responsibilities: - Design and implement backend services and APIs to power scalable, secure, and efficient agentic solutions. - Develop and optimize data pipelines for ingestion, transformation, and real-time processing of large datasets. - Development distributed systems leveraging cloud platforms (Azure, AWS, or GCP) and containerization (Docker/Kubernetes) for high availability and fault tolerance. - Integrate backend logic with front-end frameworks (React, [Next.js](http://Next.js), Typescript) to deliver seamless user experiences. - Implement security best practices across authentication, authorization, and data protection layers. - Collaborate with cross-functional teams including product management, design, and QA to align technical solutions with business goals. - Conduct code reviews and enforce standards for performance, reliability, and security. - Continuously research and integrate emerging technologies such as LLM orchestration, multi-agent systems, and knowledge graphs. - Document architecture and technical decisions for transparency, scalability, and maintainability. ### Professional Qualifications: - Bachelor’s degree in computer science, AI/ML, Data Engineering, or related field. - Strong proficiency in coding languages (e.g., C#, Java, Python, or C++). - Passion for solving customer problems. - Hands-on experience with data pipelines, cloud platforms (Azure, AWS, or GCP), and containerization (Docker/Kubernetes). - Proven ability to work in agile environments, managing ambiguity and delivering impactful outcomes. ### Preferred Qualifications: - Experience in building AI-driven applications or distributed systems. - Hands-on experience developing full-stack solutions (React, [Next.js](http://Next.js), Typescript, [Node.js](http://Node.js)) - Experience with nsjail, Firecracker and MS Orleans preferred. - Experience with vector databases, semantic search, and prompt engineering. - Knowledge of reinforcement learning, planning algorithms, or multi-agent coordination. - Familiarity with LLM frameworks, agent orchestration, and knowledge representation techniques.