Lead Ai Engineer

Job 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: 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

Qualifications: Qualifications

• 8-10+ years of software engineering experience with at least 2 years focused on AI/ML
• Expert-level proficiency in Python and Agentic AI frameworks (LangChain, AutoGPT, Crew.ai , Nemo, …)
• Expertise in use of AI coding tools and agents (Cursor, Claude Code, GitHub Copilot, …)
• Proven experience with Model Context Protocol (MCP) is highly beneficial
• Expertise in AI guardrails and safety mechanisms implementation
• Advanced knowledge of prompt engineering, few-shot learning, and in-context learning
• Deep understanding of vector databases and similarity search optimization
• Knowledge of AI ethics, bias detection, and responsible AI practices
• Expertise in containerization and orchestration (Docker, Kubernetes)
• Experience with Infrastructure as Code and cloud architecture patterns
• Proven track record of leading technical teams and complex AI projects
• Bachelors or Master's degree in Computer Science, AI/ML, or related field
• Excellent communication skills with ability to explain complex AI concepts to diverse audiences
• Bachelors or Master's degree in Computer Science, AI/ML, or related field