We are seeking an experienced Software Development Engineer to design and build end-to-end full-stack applications, encompassing intuitive frontend user interfaces and scalable backend services. This role involves developing responsive, user-friendly UI components using modern frameworks such as React or Vue, alongside building robust backend APIs and services (REST/GraphQL) to support application logic and data processing.

You will integrate AI/ML capabilities, including large language model (LLM) APIs and other inference services, into production-ready systems, while architecting efficient data pipelines for ingestion, transformation, and storage to enable AI-driven features. The role requires optimizing performance, scalability, and reliability across the full stack, and working closely with R&D, product, and design teams to translate concepts into functional, user-facing solutions. You will operate in a fast-paced R&D environment, rapidly prototyping and iterating while maintaining high engineering standards, and contributing to architectural decisions and team mentorship.

Key Responsibilities

Design and develop end-to-end full-stack applications, including frontend interfaces and backend services
Build responsive, high-performance UIs using modern frameworks (e.g., React, Vue)
Develop and maintain scalable backend systems and APIs (REST/GraphQL)
Integrate and operationalize AI/ML capabilities (e.g., LLM APIs, inference services) into production systems
Architect and implement data pipelines for AI-driven applications
Ensure performance, scalability, and reliability across frontend and backend systems
Collaborate with cross-functional teams to deliver user-facing features
Rapidly prototype and iterate on new ideas in an R&D environment
Implement state management, caching, and asynchronous workflows for real-time interactions
Design and manage cloud-based infrastructure (AWS)
Apply best practices in code quality, testing, CI/CD, and system monitoring
Monitor, debug, and optimize production systems (logging, observability, performance tuning)
Ensure security and data privacy in system design
Mentor junior engineers and contribute to technical leadership

Job Qualifications

Must-Have Qualifications

Master's degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in full-stack software development
Strong frontend expertise (React, Vue, or similar) and solid backend development skills (Python, Node.js, Java, or equivalent)
Proven experience designing and building scalable APIs and systems, with strong fundamentals in system architecture and software design
Hands-on experience integrating AI/ML services (e.g., LLM or inference APIs) into production applications
Experience with cloud platforms (AWS) and modern development practices (version control, testing, CI/CD)
Demonstrated experience building scalable summarization/information extraction pipelines and production-grade anomaly detection or predictive models on numerical/time-series data
Familiarity with Agile/Scrum methodologies and rigorous validation of ML/GenAI systems (evaluation metrics, bias/risk assessment)
Strong problem-solving skills, ability to work independently, and effective cross-functional communication
Fluency in English, including technical communication

Strongly Preferred

Experience building AI-powered applications involving LLMs, generative AI, or real-time inference systems
Familiarity with ML workflows, model evaluation, and performance optimization
Experience developing data-rich, interactive UIs (dashboards, visualizations, graphics-heavy applications)
Hands-on experience with cloud-native architectures and containerization (Docker, Kubernetes)
Experience with asynchronous processing, streaming systems, or real-time data pipelines
Background in R&D or fast-paced product environments with rapid prototyping cycles
Exposure to MLOps practices, monitoring, and observability tools
Experience mentoring engineers or contributing to technical leadership
Experience with Model Context Protocol (MCP) for standardized, secure integration between LLM systems and external data sources, tools, or enterprise services.

Senior R&D AI Software Engineer

R&D AI Software Engineer