AI Automation Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Automation Engineer based in India.

As an AI Automation Engineer, you will design and deliver intelligent automation solutions that reduce manual work and accelerate operations across IT and business functions. You will work at the intersection of Python engineering, browser automation, APIs, RPA, and emerging agentic AI technologies. The role combines maintaining business-critical automations with building new AI-native workflows that expand what automation can achieve. You will collaborate closely with technical and business stakeholders to identify high-value opportunities and turn them into reliable production solutions. Your work will be measured through tangible outcomes such as execution volume, error reduction, and time saved. This is an opportunity to help shape an evolving automation strategy while applying strong engineering practices in a modern, AI-focused environment.

Accountabilities:

• Design, develop, test, and deploy automation solutions across browser-based workflows, API integrations, AI-augmented pipelines, and other automation use cases that measurably reduce manual effort across IT and business operations.
• Maintain and support existing RPA solutions by diagnosing failures, adapting automations to changes in dependent systems, and ensuring deployed workflows remain reliable for the teams that depend on them.
• Translate business processes and requirements into maintainable automation solutions with clear architecture, error handling, logging, recovery mechanisms, documentation, version control, and change management practices.
• Prototype and productionize agentic workflows using modern frameworks such as LangChain, CrewAI, AutoGen, or similar technologies, incorporating LLM capabilities where they provide greater flexibility, intelligence, or accuracy than traditional rule-based automation.
• Integrate automation workflows with enterprise AI platforms and LLM services through APIs to enable context-aware process execution and intelligent handling of complex or unstructured tasks.
• Evaluate existing automation approaches and contribute to decisions about where traditional RPA should be enhanced or replaced with AI-native and agentic technologies, using measurable performance comparisons to guide recommendations.
• Partner with IT and business stakeholders to discover, assess, and prioritize automation opportunities based on process analysis, effort, potential impact, and expected business value.
• Instrument deployed automations with telemetry and performance metrics covering execution volumes, errors, reliability, and time saved, using these insights to continuously improve the automation portfolio.
• Contribute to shared standards for automation architecture, code quality, governance, deployment, and support, establishing reusable engineering patterns for the wider automation team.

Requirements

• Bring at least 3 years of professional experience building automation solutions, including scripted workflows, RPA implementations, API integrations, or comparable automation solutions deployed into production environments.
• Have hands-on experience with at least one RPA platform such as Automation Anywhere, Microsoft Power Automate, UiPath, or an equivalent technology, including the ability to maintain live automations and troubleshoot production failures.
• Demonstrate strong proficiency in Python or JavaScript/TypeScript for automation engineering, with experience producing readable, maintainable, and well-structured code.
• Have practical experience working with REST APIs, including authentication, rate limiting, error handling, and the orchestration of multi-step API workflows.
• Be comfortable analyzing and decomposing business processes to determine automation opportunities and translate requirements into an appropriate technical solution before development begins.
• Experience with Playwright or similar browser automation technologies is preferred, along with the ability and willingness to quickly learn new automation frameworks and tools.
• Experience experimenting with or developing agentic automation using frameworks such as LangChain, CrewAI, AutoGen, or similar technologies is highly valued.
• Familiarity with integrating LLM APIs from providers such as OpenAI, Anthropic, or comparable platforms into automation workflows is beneficial, particularly for unstructured data processing and intelligent decision-making.
• Exposure to CI/CD practices for automation deployment, including version control, automated testing, deployment pipelines, and structured change management, is preferred.
• Bring strong analytical and problem-solving abilities, with the curiosity to explore emerging AI technologies and the judgment to determine where they can create meaningful operational value.

Benefits

• Work on AI-powered automation initiatives that directly reduce manual effort and improve operational efficiency across technology and business teams.
• Gain hands-on exposure to modern agentic AI, LLM integrations, browser automation, API orchestration, and the evolution from traditional RPA toward AI-native automation.
• Join a flexible-first working environment designed to support effective collaboration and productivity across a global workforce.
• Access mentorship, learning programs, leadership development, and education support to build future-ready skills in a rapidly evolving AI landscape.
• Benefit from paid volunteer time, dedicated well-being resources, and regionally tailored programs supporting employees and their families.
• Contribute to automation solutions operating at significant enterprise scale, with opportunities to create measurable business impact through data-driven engineering.