Design and build AI agents and copilot experiences for defined internal use cases, with guidance on overall architecture and standards.
Conduct prompt engineering analysis, troubleshooting, and continuous tuning of AI agents and responses for scoped problem areas.
Create, maintain, and update robust automations using tools such as Workato, Okta Workflows, and Zapier.
Implement agentic AI workflows and computer use models (leveraging Gemini, Claude, OpenAI) alongside browser automation tools to automate multi-step tasks, partnering with senior team members on more complex or ambiguous workflows.
Develop custom agentic actions and integrate them with enterprise platforms using Model Context Protocol (MCP) servers and APIs, following established patterns and best practices.
Develop and troubleshoot Python scripts.
Monitor and maintain workflow integrations, agents, and automations, identifying issues and proposing improvements within your area of responsibility.
Your team will:
Collaborate on designing and implementing AI and automation solutions.
Support each other in the ideation and creation of technical designs.
Ensure the seamless integration and maintenance of automation tools and workflows.
Work closely with other departments to understand and fulfill automation needs.
About you:
Strong hands-on experience working with APIs and integrations.
Proficient in Python.
Experience contributing to the technical design of automation and AI solutions and presenting them to stakeholders across different departments (HR, Legal, Sales, Eng).
Strong understanding of modern LLMs (Gemini, Claude, OpenAI) and hands-on experience with prompt engineering and agentic design patterns.
Ability to support other team members in design ideation, creation, implementation, and peer reviews.
Excellent communication and collaboration skills.
Strong problem-solving mindset, attention to detail, and a passion for driving internal productivity.
Typically 8+ years of related experience in software engineering, data engineering, or automation/AI engineering (or equivalent practical experience).
Preferred Skills:
Familiarity with iPaaS tools like Workato, Okta Workflows, and Zapier.
Deep experience or strong interest in cross-department AI development, including working with MCP servers, APIs and agentic frameworks.
Understanding of data pipelines (e.g., BigQuery).
Exposure to cloud infrastructure such as GCP or AWS.
Benefits:
People: Work with talented, collaborative, and friendly people who love what they do.
Location: India - work in the heart of the Hyderabad office.
