Description

What You'll Do:

• Design, develop, and maintain internal platforms, tools, and automation solutions to improve engineering productivity.
• Build agentic AI applications capable of reasoning, planning, task execution, and decision-making.
• Develop intelligent assistants using AI, machine learning, and Large Language Models (LLMs).
• Create workflow automation solutions leveraging APIs, event-driven architectures, and orchestration frameworks.
• Build developer productivity tools for testing, deployment, monitoring, troubleshooting, and operational support.
• Design and develop scalable backend services supporting enterprise automation initiatives.
• Integrate automation solutions with enterprise applications, cloud platforms, and internal systems.
• Collaborate with engineering teams to identify repetitive processes and automate manual activities.
• Measure automation effectiveness through productivity, efficiency, and operational metrics.
• Establish best practices for software quality, reliability, security, maintainability, and scalability.
• Develop reusable automation frameworks, libraries, and shared components.
• Support deployment, monitoring, and maintenance of automation platforms.
• Drive adoption of automation-first practices across engineering and operational teams.
• Participate in architecture reviews and technical design discussions.
• Document automation workflows, technical designs, and operational procedures.
• Mentor engineers on automation technologies, AI-powered development, and software architecture best practices.
• Continuously evaluate emerging technologies and recommend innovative automation approaches.

Expertise You'll Bring:

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, or a related discipline.
• 5-12 years of experience in software development, automation engineering, or platform engineering.
• Strong proficiency in Python development and scripting.
• Proven experience designing and delivering enterprise automation solutions.
• Hands-on experience building internal tools, engineering productivity platforms, and workflow automation systems.
• Strong understanding of APIs, REST services, and system integration patterns.
• Experience designing and implementing event-driven architectures.
• Hands-on experience working with AI/ML technologies and intelligent automation platforms.
• Experience leveraging Large Language Models (LLMs) and Generative AI technologies.
• Knowledge of AI orchestration frameworks and agentic application development.
• Experience developing scalable backend services and distributed systems.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of software architecture principles and design patterns.
• Experience integrating automation solutions across enterprise systems and cloud environments.
• Knowledge of software development lifecycle (SDLC) methodologies and Agile delivery practices.
• Ability to identify process inefficiencies and design effective automation solutions.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Experience working in Agile and cross-functional engineering teams.
• Excellent communication and stakeholder management skills.
• Strong mentoring and technical leadership abilities

Key Skills

Education

Any Graduate