2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and maintain full-stack Vertical Solutions products using AI coding assistants.
- Write production-quality code across Python, C#, React, and related frontend and backend systems.
- Prototype ideas, validate them with real customers, and turn successful concepts into production systems.
- Design evaluations and measure AI system quality against real customer data and workflows.
- Build scalable, reliable distributed systems supporting AI agents, robots, and human-in-the-loop workflows.
- Translate customer needs into technical solutions and drive complex technical decisions with stakeholders.
- Drive team adoption of AI-powered productivity tools by establishing norms, measuring impact, and iterating on usage patterns.
Requirements
- Bachelor’s or master’s degree in engineering or computer science, or equivalent experience.
- 13+ years of software engineering experience, including 5+ years focused on distributed systems and backend architecture.
- Strong proficiency in one or more system-level languages such as JavaScript, C#, or Java.
- Full-stack experience with backend services, frontend layers, REST or GraphQL APIs, UI integration, and component contracts.
- Experience building production AI systems involving LLMs, tool-calling, multi-agent architectures, orchestration frameworks, structured outputs, and model-behavior evaluation.
- Strong understanding of distributed systems, object-oriented programming, architectural patterns, system design, data structures and algorithms, multithreading, asynchronous programming, synchronization, and cloud-native programming.
- Experience with React, TypeScript, or other modern frontend frameworks.
- Hands-on experience with Azure, AWS, or GCP and with Docker, Kubernetes, or equivalent technologies.
- Experience using AI coding tools or coding agents such as GitHub Copilot, Cursor, Claude Code, or similar.
- Excellent communication, analytical thinking, stakeholder collaboration, and technical decision-making skills.
- Preferred qualifications include applied ML, data science and evaluation, large-scale data platforms, retrieval-heavy or RAG architectures, trustworthy AI, workflow orchestration, startup or applied research experience, and domain experience in healthcare, finance, or procurement technology.
Benefits
- Work on cutting-edge AI technology shaping enterprise automation.
- Collaborate with talented engineers in a fast-iterating, customer-focused internal startup environment.
- Contribute to UiPath’s strategic Act 2 product initiative and recognized invention work.
- Work arrangements may be hybrid, office-based, or remote depending on team and business needs.
- Applications are reviewed on a rolling basis, with no fixed deadline; the requisition may close when a candidate is selected.
- UiPath provides an inclusive workplace, equal opportunity, reasonable accommodations, and applicant privacy protections.
Tech Stack
Apache AirflowAWSAzureC#DockerGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesPythonReactSnowflakeTypeScript
Categories
About UiPath
UiPath is a public enterprise software company that provides a robotic process automation and AI-powered automation platform for large organizations. Its products include tools to build, orchestrate, and run software robots, intelligent document processing, and process mining, delivered as cloud services and subscriptions. Founded in 2005 and headquartered in New York, it is listed on the NYSE, and serves global enterprises seeking to automate back-office and customer-facing workflows.