Senior Gen AI Engineer

Role

Senior Gen AI Engineer

Location

Paramus, NJ

Work Schedule

Hybrid work schedule

Required Qualifications

• 10 15 years of overall software engineering experience.
• 5+ years of hands-on experience in Artificial Generative Intelligence, including LLMs, SLMs, RAG, and multi-agent systems.
• Deep expertise in Google AI ecosystem: Gemini, Vertex AI, Google ADK, Google AI Studio, and Google Workspace integrations.
• Proficiency in Python (primary) and familiarity with Node.js.
• Strong background in cloud-native development on Google Cloud Platform.
• Demonstrated experience with model fine-tuning (LoRA, QLoRA, PEFT) and model evaluation frameworks.
• Solid understanding of MLOps, CI/CD for AI systems, and production deployment best practices.
• Experience with multi-agent AI architectures using Semantic Kernel, or LangGraph.

Preferred Qualifications

• Google Cloud Professional certifications (Professional ML Engineer, Professional Cloud Architect).
• Contributions to open-source AI/ML projects.
• Experience with edge AI deployments and hybrid cloud-edge inference.
• Familiarity with synthetic data generation pipelines.
• Prior experience mentoring junior engineers or interns in AI/ML domains.