Technical Lead - AI

Client of Ethra Hr

Responsibilities:

• Guide the architecture and implementation of AI chatbot solutions leveraging Generative AI, Agentic AI, LangGraph, and Model Context Protocol frameworks.
• Mentor and develop GenAI engineers, fostering a culture of technical excellence and continuous learning.
• Establish and enforce best practices in coding, design, testing, and deployment of AI systems.
• Work closely with data scientists, software engineers, UI/UX designers, and product managers to translate business requirements into technical deliverables.
• Maintain high standards for code quality, system reliability, and solution scalability through rigorous code reviews and testing protocols.
• Oversee the end-to-end project lifecycle, ensuring timely delivery of milestones and alignment with client objectives.
• Serve as the technical point of contact for clients, providing regular updates, technical guidance, and aligning deliverables with business goals.
• Identify opportunities for process optimization and technological innovation within the AI chatbot domain.

Requirements

• Generative AI expertise, with a proven track record in designing and developing solutions using GenAI models and architectures.
• Hands-on experience with Agentic AI systems, including multi-agent orchestration and workflow automation.
• Extensive experience implementing conversational flows and logic with the LangGraph framework.
• Deep understanding and practical application of Model Context Protocol for managing context and state in large language model deployments.
• Advanced proficiency in Python, including experience with AI/ML libraries and frameworks.
• Demonstrated ability to lead, mentor, and inspire technical teams to achieve high performance and deliver quality outcomes.
• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

• Understanding of data modeling, data pipeline design, and scalable data architecture principles.
• Familiarity with user interface and user experience design as it relates to conversational AI applications.
• Experience deploying AI solutions on major cloud platforms such as Azure, AWS, or GCP.
• Knowledge of CI/CD pipelines, containerization, and infrastructure automation is a plus.