Job Title: Principal Generative AI Engineer

Location: Weehawken, NJ

Duration: 9 Months 

Bill Rate: $75/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

This is a hands-on, full-stack AI role: you design, build, and deliver AI solutions end to end, across traditional ML, Generative AI, and Agentic AI, while shaping technical strategy and mentoring/managing a growing team.
You will scope and deliver core AI solutions in close partnership with business stakeholders, data scientists, engineers, and product and technology partners, and help shape enterprise AI practices and standards, bringing deep expertise in AI solution delivery. You will own solution delivery on top of the enterprise AI platform, shipping agentic solutions end to end rather than building the underlying platform infrastructure. Additionally, you will partner with the business to assess and quantify the overall value delivered by the AI solution.

Required Skills:

• Advanced degree (MS or PhD) in Computer Science, AI, Engineering, Mathematics, or a related quantitative field.
• 8+ years of experience applying data science, ML, and AI to real-world business problems, with progressive growth in scope, complexity, and influence.
• Fluent with AI-assisted engineering tools, such as Codex, Claude Code, used daily as a force multiplier, with critical review of generated output.
• Experience building engineering agents that accelerate delivery itself, such as testing, code review, or deployment-validation agents, not just using AI tools to write code.
• Full-stack AI fluency: demonstrated ability to work across the spectrum from statistical modeling and ML to LLM application development and agentic system design, including rapid prototyping (e.g., Streamlit, React) and owning solutions through to production.
• Strong software engineering skills in Python; working knowledge of SQL and JavaScript/TypeScript sufficient to build and ship a solution's front end (e.g., React). Comfort with modern development practices including testing, code review, and CI/CD. Working fluency with containers (Docker) and Kubernetes-based deployment, sufficient to independently ship and operate a solution on the platform, not to build or own platform infrastructure.
• Deep hands-on experience with LLMs, RAG architectures, and prompt engineering, including graph-based retrieval (GraphRAG, knowledge graphs) alongside traditional vector-based RAG.
• Hands-on experience with multi-agent and sub-agent orchestration frameworks (e.g., LangGraph, Google ADK, or equivalent) and MCP or equivalent tool integration protocols, for production agentic systems.
• Experience developing and evaluating AI systems rigorously: automated evaluation pipelines, red-teaming, hallucination detection, safety testing, and performance monitoring.
• Proficiency with cloud AI platforms, particularly GCP Vertex AI for agentic development, with working knowledge of AWS services (SageMaker, Bedrock) and modern data platforms (Databricks). Comfort consuming cloud-native platform services (existing IaC templates, CI/CD pipelines, the AI gateway) to deploy and operate solutions.
• Strong stakeholder engagement and communication skills: ability to scope initiatives, present to senior leaders, manage expectations, and drive alignment across business and technology partners.
• Track record of mentoring and elevating technical talent.
• Experience in life insurance, financial services, or other regulated industries is a plus.