Artificial Intelligence Engineer

Key Responsibilities :

- Collaborate closely with AI Solutions Architects to translate high-level designs into technical implementations, providing feedback on feasibility and suggesting improvements.

- Build and implement AI solutions based on architectural designs and specifications provided by AI Solutions Architects, ensuring robust, scalable, and maintainable code.

- Develop and evolve AI-powered tools and platforms including Abacus.ai, Workato iPaaS solutions for agentic orchestration, and organization-wide AI development tools such as Cursor.

- Create intelligent automation workflows that leverage natural language understanding and data signals to trigger agentic actions and business processes.

- Integrate AI capabilities with existing business applications, collaboration platforms (such as Slack), data sources, and IT infrastructure to create seamless end-to-end solutions.

- Design and implement data connectivity solutions that enable AI systems to access, process, and act upon various data sources for intelligent decision-making.

- Develop sophisticated prompting strategies and conversation flows that effectively translate business requirements into actionable AI responses and automated workflows.

- Build and maintain AI-powered intelligent agents that can orchestrate complex business processes and provide autonomous problem-solving capabilities.

- Optimize AI solution performance through efficient coding practices, resource management, and continuous monitoring of deployed systems.

- Rapidly prototype and iterate on AI implementations, conducting testing and validation to ensure solutions meet business requirements and performance standards.

- Maintain and evolve existing AI solutions, implementing updates, bug fixes, and enhancements based on user feedback and changing business needs.

- Document technical implementations, code standards, and operational procedures to support knowledge sharing and system maintenance.

- Stay current with emerging AI tools and platforms, continuously learning new technologies and evaluating their potential for business Requirements :

- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.

- 3+ years of hands-on software development experience with at least 1+ years focused on AI/ML implementation and deployment in enterprise environments.

- Strong programming skills in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and familiarity with MLOps tools.

- Proven experience with AI platforms and tools such as Abacus.ai, OpenAI APIs, Anthropic Claude, or similar enterprise AI solutions.

- Hands-on experience with iPaaS platforms like Workato, Zapier, or similar tools for creating automated workflows and integrations.

- Proficiency with modern development tools including AI-assisted coding environments like Cursor, GitHub Copilot, or similar AI-powered development platforms.

- Strong data integration skills with experience connecting to various data sources (APIs, databases, cloud storage) and implementing data pipelines for AI applications.

- Understanding of agentic AI concepts including prompt engineering, conversation design, and autonomous agent development.

- Knowledge of enterprise integration patterns and experience with RESTful APIs, webhooks, and event-driven architectures.

- Strong problem-solving abilities with a track record of debugging complex technical issues and optimizing system performance.

- Excellent collaboration skills with the ability to work closely with architects, business analysts, and stakeholders to deliver high-quality solutions.

- Adaptability and continuous learning mindset with demonstrated ability to quickly master new AI tools and technologies.

- Self-motivated and detail-oriented with strong project management skills and ability to deliver solutions on time and within scope.

- Must reside in Chennai, India.

Why Youll Love This Role :

- Direct impact on business transformation through hands-on implementation of cutting-edge AI solutions that solve real business challenges.

- Work with the latest AI technologies and platforms, continuously expanding your technical expertise in the rapidly evolving AI landscape.

- Collaborate with innovative teams including AI Solutions Architects, data engineers, and business leaders on high-visibility projects.

- Shape the future of AI tooling within the organization by building and evolving the platforms and solutions that enable enterprise-wide AI adoption.

- Continuous learning opportunities with access to the latest AI tools, training resources, and the chance to experiment with emerging technologies.

- Career growth potential in a rapidly expanding field with opportunities to advance into senior engineering or architectural roles.