CA0191 | Lead AI Developer

Job Overview

Key Responsibilities

• Advanced AI Development:
• Architect, develop, and implement AI models and systems, with a strong focus on generative and agentic AI. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications.
• Research & Innovation:
• Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and Agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities.
• Collaboration & Integration:
• Work closely with cross-functional teams—including data scientists, software engineers, and product managers—to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms.
• Code Quality & Mentorship:
• Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence.
• Performance Optimization & Scalability:
• Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy.

Required Qualifications

• Experience:
• Extensive industry experience in AI development, with a strong portfolio demonstrating proficiency in Generative AI and Agentic AI applications.
• Technical Skills:
• AI Frameworks & Libraries: Hands-on experience with modern AI frameworks (e.g., TensorFlow, PyTorch) and familiarity with emerging Generative AI platforms.
• Programming Languages: Proficiency in Python; exposure to Rust or C++ is a plus.
• Data Management: Expertise in handling large-scale, data-intensive environments and designing efficient data pipelines.
• Full Stack Development: Strong experience in frontend and backend development.
• API Development: Proven experience in developing REST APIs for scalable applications.
• AI Agent Development: Practical experience with LangChain, LangFlow, and similar frameworks.
• Model Training & Finetuning: Hands-on experience in training, fine-tuning, and deploying AI/ML models.
• Cloud Expertise: Familiarity with AWS or GCP cloud environments for deploying AI workloads.
• Protocols: Worked with advanced protocols like MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication.
• Core Competencies:
• Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.
• Excellent communication skills for effective collaboration across diverse teams.
• Familiarity with Agile methodologies and best practices in software development.

Preferred Qualifications

• Advanced degrees (Master’s/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience with cloud-based AI solutions and infrastructure (e.g., AWS, Azure, Google Cloud).
• Proven track record of contributing to AI research publications or patents in Generative AI or Agentic AI.
• Knowledge of ethical AI practices, ensuring model fairness, transparency, and accountability.