Senior Generative AI Engineer & Tech Lead

Valiant Technologies LLC

Weehawken (NJ)

On-site

USD 88,000 - 118,000

Full time

4 hours ago
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Job summary

Valiant Technologies LLC seeks a Principal Generative AI Engineer to lead hands-on, full-stack AI delivery across ML, GenAI, and agentic systems in a 9-month engagement in New Jersey. You will own end-to-end AI solutions, mentor a growing team, and collaborate with business stakeholders to shape enterprise AI practices.

The role requires a PhD/MS in a quantitative field, 8+ years of applicable experience, and deep expertise in LLMs, RAG architectures, multi-agent orchestration, and cloud

Qualifications

  • This role requires an advanced degree and 8+ years applying data science, ML and AI to real-world problems.
  • Proficiency with AI-assisted engineering tools and multi-agent system design is expected.
  • Experience across ML, LLM apps, and production deployment is essential.

Responsibilities

  • Design, build, and deliver end-to-end AI solutions across ML, Generative AI, and agentic systems.
  • Mentor and grow a developing AI/ML team and align with business stakeholders.
  • Partner with data scientists, engineers, and product teams to deliver enterprise AI capabilities.

Skills

MS/PhD in CS or related
8+ years data science/ML/AI
AI tooling proficiency
LLM app development
Agentic AI & multi-agent systems
Cloud platforms (GCP Vertex AI)
RAG architectures & graph-based recall
Stakeholder engagement

Education

MS or PhD in CS/AI/Engineering

Tools

Streamlit
React
Codex/Claude Code
LangGraph
Google ADK
MCP tooling

Job description

Valiant Technologies LLC seeks a Principal Generative AI Engineer to lead hands-on, full-stack AI delivery across ML, GenAI, and agentic systems in a 9-month engagement in New Jersey. You will own end-to-end AI solutions, mentor a growing team, and collaborate with business stakeholders to shape enterprise AI practices.

The role requires a PhD/MS in a quantitative field, 8+ years of applicable experience, and deep expertise in LLMs, RAG architectures, multi-agent orchestration, and cloud

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