Senior Developer AI Automation

HP; India; Presencial; INR 1.500.000 - 2.800.000; Jornada completa

Descripción de la vacante

HP is seeking an experienced AI and automation engineer in India to design and implement AI applications, RPA bots, and end-to-end automation workflows. The role focuses on translating business needs into scalable software, leveraging generative AI, document understanding, and information extraction.

You will integrate with enterprise systems, build robust workflows, and deploy on cloud platforms, ensuring security, testing, CI/CD, and monitoring.

Formación

• Recommended degree in Computer Science, Engineering, Information Systems, or related discipline, or equivalent practical experience.
• Typically 5-8 years of relevant software development, AI, RPA, or enterprise automation experience.
• Hands-on programming and production delivery experience; cloud platforms and enterprise integrations.

Responsabilidades

• Designs and develops AI applications, intelligent agents, RPA bots, and end-to-end automation workflows.
• Translates business requirements into technical designs and maintainable code.
• Implements solutions using generative AI, document understanding, information extraction, and business rules.
• Integrates solutions with enterprise applications, APIs, databases, and data sources.
• Develops workflows with complex scenarios, exceptions, and human review.
• Deploys and supports solutions on cloud platforms and infrastructure.

Conocimientos

Python

Java

C#

AI

RPA

API Integration

Cloud Platforms

CI/CD

Security & Privacy

Documentation & mentoring

Educación

Bachelor's or Master's in CS/Engineering/IS

Herramientas

Azure

AWS

GCP

Descripción del empleo

Responsibilities

• Designs and develops AI applications, intelligent agents, RPA bots, and end-to-end automation workflows.
• Translates business requirements into technical designs, reusable components, and maintainable code.
• Implements solutions using generative AI, document understanding, information extraction, and business rules.
• Integrates solutions with enterprise applications, APIs, databases, and other data sources.
• Develops workflows that handle complex scenarios, exceptions, and appropriate human review.
• Deploys and supports solutions on cloud platforms, including application infrastructure and configuration.
• Implements testing, AI evaluation, CI/CD, logging, and monitoring to ensure production reliability.
• Troubleshoots issues and improves solution accuracy, performance, scalability, and cost.
• Applies security, data privacy, access control, and software engineering standards.
• Conducts code reviews, maintains technical documentation, and mentors developers.

Education & Experience

Recommended Degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience. Typically has 5-8 years of relevant experience in software development, AI, RPA, or enterprise automation. Strong hands-on programming experience and demonstrated delivery of production solutions. Practical experience with cloud platforms, application infrastructure, and enterprise integrations.

Preferred Certifications

AI, Cloud Platform, RPA, or DevOps Certification

Programming Language Certification

Python and Working Knowledge of Java, C#, or Comparable Languages

Knowledge & Skills

• Python and Working Knowledge of Java, C#, or Comparable Languages
• Generative AI, Large Language Models, and Agentic Workflows Prompt Engineering and Retrieval-Augmented Generation
• RPA and Workflow Orchestration
• Document Understanding and Information Extraction
• APIs, Enterprise Integration, SQL, and Databases
• Microsoft Azure, Amazon Web Services, or Google Cloud
• Containers, CI/CD, and Infrastructure as Code
• Networking, Identity, Secrets, and Access Management
• Software Design, Testing, Debugging, and Monitoring
• AI Evaluation, Security, and Data Privacy
• Cross-Org Skills
• Customer Centricity
• Analytical Thinking and Problem-Solving
• Cross-Functional Collaboration
• Communication and Technical Mentoring
• Ownership and Prioritization
• Adaptability and Continuous Learning

Impact & Scope

Delivers and improves AI and automation capabilities across business processes, contributing to productivity, processing accuracy, and operational efficiency.

Complexity

Applies technical judgment to resolve ambiguous requirements, variable AI outputs, complex business scenarios, and enterprise integration challenges.

Disclaimer

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

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