AI & Emerging Tech Practice

AI & Emerging Technology Practice

We know the difference between AI hype and AI builders. GenAI engineers, MLOps specialists, data engineers, and cloud AI architects with verified production experience.

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Specialist Areas

What we place

Generative AI

LLM engineers, prompt engineers, RAG architects, and GenAI application developers with production deployment experience.

Data & Analytics

Data engineers, analytics engineers, data scientists, and BI developers across modern data platforms.

Cloud AI & MLOps

ML engineers, MLOps specialists, and cloud AI architects who build systems that run in production at scale.

Automation & RPA

Process automation specialists, RPA developers, and intelligent automation architects.

Emerging Technology

Specialists in blockchain, IoT, edge computing, and emerging platforms — vetted for real delivery experience.

AI Governance

AI policy specialists, responsible AI practitioners, and governance architects for enterprise AI programs.


Why LYNX AI Practice

We know who has built production systems
and who has not.

The AI talent market is full of professionals who have experimented with models but have never shipped a production system. Our recruiters understand the difference — they evaluate architecture decisions, deployment pipelines, and real-world constraints, not just framework familiarity.

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What we evaluate

Production deployment experience, not just notebook experiments

Architecture decisions under real-world constraints

Scale, latency, and cost management in live systems

Cross-functional delivery — not just technical depth