About the role
Rapidly prototype and deliver POCs and iterate on solutions using an experimentation-driven engineering approach. Design, build, and ship scalable, production-quality features and intelligent services using modern engineering practices. Collaborate across teams to integrate systems, data, and signals into cohesive AI-powered workflows. Debug, troubleshoot, and improve system reliability and performance using telemetry and diagnostics. Build secure, compliant, and responsible AI solutions ready for production scale. Contribute to a culture of continuous learning, experimentation, and engineering excellence. Bachelor's degree in computer science engineering, or related field. 2-5 years of professional software engineering experience with hands-on coding in languages such as C#, Java, Python, or React. Proficiency in AI-native development — working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor. Strong fundamentals in data structures, algorithms, object-oriented design, and scalable systems. Experience building, testing, debugging, and maintaining production-quality software, following established engineering practices as well as leveraging large language models (LLMs). Solid problem-solving and technical judgment skills, with the ability to design scoped solutions, debug complex issues, and improve service performance. Excellent communication and collaboration abilities. Experience with AI/ML frameworks, LLMs, and Copilot technologies. Proficiency in multiple programming languages and development frameworks. Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure as Code. Familiarity with version control systems (e.g., Git). Use of AI and familiarity with Claude, GitHub Copilot for code generation. Knowledge of security, compliance, and Responsible AI principles in software development. Prior experience working in agile, cross-functional teams. Demonstrated ability to drive innovation and deliver results in a fast-paced environment.
