Lead AI Engineer at EXL Talent Acquisition Team
Dublin, Leinster, Ireland -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

0.0

Posted On

08 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, LangChain, AutoGPT, Crew.ai, Nemo, Model Context Protocol, AI Guardrails, Prompt Engineering, Vector Databases, Docker, Kubernetes, Infrastructure as Code, Machine Learning, Distributed Systems, Cloud Architecture, Technical Leadership

Industry

Business Consulting and Services

Description
Senior Lead AI Engineer EXL Digital is looking for an experienced Fullstack Engineer to join the team. At EXL, we believe there is always a better way. We look deeper, we find it, and we make it happen. We created a culture founded on core values of innovation, collaboration, excellence, integrity, and respect. We are seeking an exceptional Senior Lead AI Engineer to spearhead the development of advanced AI agentic solutions and platforms. This senior engineering role requires deep expertise in artificial intelligence, machine learning, and modern software engineering practices. You will be responsible for architecting complex AI systems, implementing cutting-edge technologies, and establishing robust evaluation frameworks and guardrails for AI applications       As an AI Engineer, you will … * Lead the design and implementation of enterprise-scale AI agent platforms and multi-agent systems * Develop and maintain AI guardrails and safety mechanisms to ensure responsible AI delivery * Establish technical standards and best practices for AI development  * Mentor and guide junior and mid-level engineers in AI/ML technologies and engineering methodologies * Build AI agent orchestration systems with complex workflow management  * Implement advanced prompt engineering techniques and dynamic prompt optimization systems * Design fault-tolerant, distributed AI systems with high availability requirements  * Develop advanced caching strategies and performance optimization for AI workloads  * Create comprehensive logging, monitoring, and alerting systems for AI application * Work closely with product managers, designers, and architects to deliver high-quality solutions * Stay at the forefront of AI research and emerging technologies  * Evaluate and integrate cutting-edge AI models and frameworks into production systems  * Conduct experiments with novel AI architectures and approaches * Be a self-motivated, curious, and productive under high pressure
Responsibilities
Lead the design and implementation of enterprise-scale AI agent platforms and multi-agent systems. Establish technical standards, mentor junior engineers, and develop robust AI guardrails to ensure responsible delivery.
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