AI Engineer

About the Role

Saivamshi Jilla is at the forefront of innovation, building intelligent solutions that drive efficiency and transform businesses. We are seeking a passionate and driven AI Engineer to join our dynamic Engineering team. This remote, full-time role is an excellent opportunity for individuals with 1+ years of experience, including talented freshers with strong project portfolios, to contribute to the design, development, and deployment of cutting-edge AI agents and automation systems. If you're eager to make a significant impact and work with technologies like Python, Docker, n8n, and advanced AI concepts, we encourage you to apply.

Key Responsibilities

• Design, develop, and implement robust AI models and intelligent agents to solve complex business problems.
• Build and maintain automation workflows and integrations using platforms like n8n.
• Write clean, efficient, and well-documented code primarily in Python.
• Utilize Docker for containerization, deployment, and management of AI applications.
• Contribute to the architectural design and system thinking for scalable and resilient AI solutions.
• Collaborate closely with cross-functional teams to understand requirements and integrate AI capabilities into existing systems.
• Troubleshoot, debug, and optimize performance of AI agents and automation scripts.
• Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Required Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field.
• 1+ years of professional experience in AI/ML development, or a strong portfolio of relevant projects for freshers.
• Proficiency in Python programming and its ecosystem (libraries like NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch).
• Familiarity with containerization technologies, particularly Docker.
• Experience with workflow automation tools, specifically n8n, or similar platforms.
• Basic understanding of AI agent concepts, prompt engineering, and large language models.
• Foundational knowledge of system design principles and software architecture.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of MLOps practices for deploying and managing ML models in production.
• Familiarity with version control systems, especially Git.
• Experience with API development and integration.
• Strong problem-solving skills and an analytical mindset.

What We Offer

• Opportunity to work on innovative AI and automation projects that make a real impact.
• A flexible, fully remote work environment that promotes work-life balance.
• A collaborative and supportive team culture focused on growth and learning.
• Continuous professional development opportunities and access to cutting-edge tools.
• Competitive compensation package and performance-based incentives.
• Direct involvement in shaping the future of our product and technology stack.