Senior Software Engineer

The role

You will build and scale the core orchestration engine for an AI agentic orchestration platform. This role involves designing, developing, and maintaining full stack products for the Vertical Solutions team.

What you will do

• Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants.
• Write production-quality code daily using AI tools.
• Take ideas from Prototype to validate with real customers and turn them into production systems.
• Design evaluations and measure quality against real customer data.
• Translate customer needs into technical solutions.
• Contribute to building highly scalable, reliable distributed systems.

Required qualifications

• Bachelor's/Master's degree in Engineering, Computer Science or equivalent experience.
• 7+ years of software engineering experience.
• 4+ years focused on distributed systems and backend architecture.
• Strong proficiency in one or more system-level languages – Javascript / C# / Java etc.
• Full-stack experience including backend services and frontend layers.
• Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms.
• Experience with React, TypeScript, or other modern frontend frameworks.
• Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models.
• Hands-on experience with cloud ecosystems: Azure, AWS, or GCP.
• Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent.
• Hands-on experience with AI coding tools and coding agents.
• Experience driving team adoption of AI-powered productivity tools.

Nice to have

• Experience with healthcare Tech/ Finance Tech/ Procurement Tech systems experience
• Data science and evaluation
• Experience with applied ML techniques such as classification, anomaly detection, ranking, or predictive modeling
• Experience evaluating AI systems using experimentation, metrics, and empirical analysis
• Data and retrieval systems
• Experience with large-scale data platforms (Snowflake, columnar warehouses, denormalized data models)
• Familiarity with retrieval-heavy architectures, RAG systems, or citation-grounded AI workflows
• Engineering for trustworthy AI
• Experience blending deterministic and probabilistic systems (rules engines + AI)
• Experience designing eval-driven systems, regression testing for LLM outputs, or human-in-the-loop review workflows

Benefits

• Work on cutting-edge AI technology
• Be part of a team building Times top 100 Invention of the Year
• Collaborate with talented engineers
• Contribute to UiPath's Act 2 strategy

About the company

UiPath believes in the transformative power of automation to change how the world works. They are committed to creating category-leading enterprise software.