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UiPath

Automates business processes with RPA software

Senior Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • The role requires 5–8+ years of software engineering experience, including applied or customer-facing work.
  • Strong coding skills in Python and/or TypeScript are required.
  • Hands-on experience with large language models, prompt engineering, and production AI systems is required.
  • Experience building and deploying complex, integrated systems is required.
  • The candidate must be able to operate in ambiguity and move quickly from idea to production.
  • The role requires communication with engineers and business stakeholders.
  • Customer-facing experience managing technical risks, timelines, tradeoffs, and stakeholder expectations is required.
  • The candidate must be able to mentor engineers and contribute to reusable assets, technical standards, and delivery best practices.

Responsibilities

  • Build and deploy large-language-model-powered applications and multi-agent workflows in production environments.
  • Design end-to-end solutions integrating APIs, enterprise systems, and data platforms.
  • Partner directly with customers to translate business problems into scalable AI and robotic process automation solutions.
  • Own delivery from prototype through production and iteration.
  • Optimize systems for performance, cost, and reliability.
  • Extend platform functionality using APIs, software development kits, connectors, and custom integrations to meet customer-specific requirements.
  • Anticipate delivery risks, manage scope, and proactively communicate blockers, tradeoffs, and timelines with customers and internal stakeholders.
  • Lead high-impact technical workstreams within strategic customer engagements, aligning delivery to measurable business outcomes.
  • Contribute reusable patterns and influence product direction through real-world feedback.
  • Mentor engineers, raise technical standards, and help scale reusable implementation playbooks across customer engagements.
  • Partner with Product, Engineering, Sales, and Customer Success to translate field learnings into platform improvements.
  • Travel approximately 20–30% to customer sites.

Desired Qualifications

  • A PhD or Master’s degree in Computer Science or a related field is strongly preferred.
  • Experience with agent frameworks, orchestration systems, or distributed systems is preferred.
  • Familiarity with large language model providers such as OpenAI, Anthropic, or Gemini is preferred.
  • A background in applied AI, machine learning, or automation platforms such as UiPath, robotic process automation, or workflow engines is preferred.
  • Experience in startup, consulting, or forward-deployed environments is preferred.
  • Experience with prompt management, large language model evaluation, agent observability, and production support practices is preferred.
  • Familiarity with enterprise security, governance, compliance, and operational readiness requirements is preferred.
  • Experience presenting technical recommendations to senior customer stakeholders or executives is preferred.
  • Experience contributing to reference architectures, reusable delivery patterns, or internal technical enablement is preferred.

About the Company

UiPath

Automates business processes with RPA software

UiPath creates software that helps businesses automate repetitive tasks using robotic process automation (RPA). Its products design AI-driven workflows, run bots, and manage automation in the cloud or on-premises. Customers license the software or subscribe to cloud services, receive professional support, and can access a marketplace of third-party integrations to extend the platform. The system works by letting users build and deploy automation workflows that coordinate across different applications, with a central orchestrator to schedule and monitor bots in real time. What sets UiPath apart is its large and growing ecosystem, extensive integrations, and scalable cloud-based orchestration that supports enterprise deployments across many industries. The goal is to reduce operating costs and raise productivity by expanding automated processes throughout organizations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2005

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