AI and Automation Developer
HP Inc. (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 16h ago
Reach people at HP Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at HP Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and support AI applications, intelligent agents, RPA bots, and workflows that improve processing efficiency, accuracy, and user experience across assigned business processes.
- Integrate solutions with APIs, enterprise applications, databases, and cloud environments; implement document processing, business rules, exception handling, and human review.
- Test and monitor deployments, resolve defects and production issues, and improve solution accuracy, performance, and reliability.
Minimum Requirements
- Work Experience Required: Typically 3–5 years in software development, AI, RPA, or enterprise automation; the JD does not state this as a strict minimum.
- Hands-on programming experience and practical exposure to AI or automation solutions; Python or a comparable programming language is listed.
- Working experience with cloud platforms, APIs, databases, and application deployment is listed.
- Degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience, is recommended.
Ideal Candidate Profile
- Has experience delivering enterprise automation solutions that connect AI or RPA workflows with business systems and data sources.
- Can handle routine development and moderately complex technical issues independently, while seeking guidance for architectural decisions or unfamiliar scenarios.
- Has practical breadth across AI/LLM concepts, document processing, cloud deployment, testing, CI/CD, monitoring, and security or data privacy practices.