Senior AI Scientist / AI Engineer (Graph & Agent Systems)

Qualifications

• Minimum of 8 years' experience in machine learning engineering or scientific roles
• Hands-on experience with real-world, production-level systems
• Experience with core model development, beyond merely utilizing Graph Databases like Neo4j or RAG pipelines
• Graph Machine Learning expertise is a non-negotiable requirement
• Ability to navigate and solve complex production challenges, including latency, scale, and data drift
• Ownership and leadership in system understanding and enhancement
• Production experience is essential; candidates must demonstrate their work has moved beyond prototype phases
• While development from scratch isn't required, a deep understanding of existing systems is vital

Responsibilities

• This position is critical to their team, focusing specifically on the design and implementation of graph-centric AI systems that are active in production environments
• Proven track record in deploying AI Agents and transitioning them to production stages
• Expertise in building and modeling Knowledge Graphs

Full Description

Are you ready to lead the charge in cutting-edge AI systems?

Our client is seeking a seasoned professional with a robust background in developing AI Agents and Graph-based Machine Learning systems.

This position is critical to their team, focusing specifically on the design and implementation of graph-centric AI systems that are active in production environments.

• Minimum of 8 years' experiencein machine learning engineering or scientific roles.

• Proven track record in deploying AI Agents and transitioning them to production stages.

• Expertise in building and modeling Knowledge Graphs.

• Hands-on experience with real-world, production-level systems.

What We’re Looking For:

• Experience with core model development, beyond merely utilizing Graph Databases like Neo4j or RAG pipelines.

• Graph Machine Learning expertise is a non-negotiable requirement.

• Ability to navigate and solve complex production challenges, including latency, scale, and data drift.

• Ownership and leadership in system understanding and enhancement.

Additional Insights:

• Production experience is essential; candidates must demonstrate their work has moved beyond prototype phases.

• While development from scratch isn't required, a deep understanding of existing systems is vital.

At Talent Wave Associates, we connect outstanding talent with exceptional opportunities.

We're proud to be an Equal Opportunity Employer and are committed to fostering an inclusive, people-first recruiting experience.

Ready to ride the wave of opportunity?

Apply today!

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