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AI Engineer

Job

Sincera Technologies, Inc.

Jersey City, NJ (In Person)

Full-Time

Posted 6 days ago (Updated 13 hours ago) • Actively hiring

Expires 7/23/2026

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Job Description

Senior AI Engineer Google AI & Generative Intelligence Location:
[Paramus, NJ / Hybrid]
Experience Required:
10 15 Years in Software Engineering | 5+ Years in
Artificial Generative Intelligence Job Description:
We are seeking a highly experienced Senior AI Engineer with deep expertise in Google AI technologies, Generative AI, and Large & Small Language Model (LLM/SLM) development. The ideal candidate brings 10 15 years of broad software engineering experience, with the last 5 years focused exclusively on Artificial Generative Intelligence, including designing, building, deploying, and monitoring production-grade AI systems. This role demands mastery of the Google ecosystem including Google Workspace, Google Agent Development Kit (ADK), and Vertex AI alongside a strong command of modern LLM/SLM frameworks, cloud-native infrastructure, and MLOps best practices. 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.