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We are seeking an AI Lead with strong expertise in LLMs, RAG architectures, embeddings, and agent-based frameworks. The ideal candidate should have solid machine learning fundamentals, system design experience, and hands-on exposure to building API-driven, microservices-based, cloud-native solutions. This role requires the ability to architect scalable AI systems, guide model integration into production, and lead and mentor engineering teams. A strategic mindset with a passion for innovation and technical excellence is essential.
Job Responsibility:
Execute the roadmap aligned with business and engineering goals
Drive adoption of AI-first and agent-driven architectures
Establish the standards, patterns, and governance
Train, fine-tune, and evaluate LLMs and classical ML models
Design embeddings, RAG pipelines, and evaluation frameworks
Optimize prompt strategies and cost-performance tradeoffs
Design AI agents that interact with databases, APIs, and workflows
Integrate AI into microservices and SaaS platforms
Define agent pipelines, tool calling, memory, and observability patterns
Productionize AI workloads with DevOps teams
Establish MLOps practices, including monitoring and model versioning
Build and groom AI engineering teams
Coach developers to become AI-augmented full-stack thinkers
Track initiatives using clear goals and KPIs
Partner with Product, Sales, and Pre-sales teams
Act as an internal and external AI evangelist
Requirements:
LLMs, RAG, embeddings, and agent frameworks
Strong ML fundamentals and system design
API, microservices, and cloud-native experience
Proven leadership and mentoring capability
Effective Communication
Leadership and Mentorship
Problem-Solving Attitude
Collaboration and Teamwork
Adaptability and Flexibility
What we offer:
Competitive compensation and performance-based incentives
Opportunities for professional growth through workshops and certifications