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Job Title: Senior AI Full Stack Engineer (GenAI / Agentic AI)
Locations: Charlotte, NC | Chandler, AZ | Minneapolis, MN | Iselin, NJ
Duration: 12-month contract (conversion possible)
Work Model: Hybrid (3 in 2 remote)
Overview
Seeking a hands-on Senior AI Full Stack Engineer to build and scale enterprise AI solutions, including Generative AI and agentic systems. This role combines full stack development with advanced AI/ML capabilities to deliver automation and intelligent applications in a cybersecurity data science environment.
Key Responsibilities
Job Title: Senior AI Full Stack Engineer (GenAI / Agentic AI)
Locations: Charlotte, NC | Chandler, AZ | Minneapolis, MN | Iselin, NJ
Duration: 12-month contract (conversion possible)
Work Model: Hybrid (3 in 2 remote)
Overview
Seeking a hands-on Senior AI Full Stack Engineer to build and scale enterprise AI solutions, including Generative AI and agentic systems. This role combines full stack development with advanced AI/ML capabilities to deliver automation and intelligent applications in a cybersecurity data science environment.
Key Responsibilities
- Design and develop end-to-end AI-powered applications (UI backend)
- Build and implement agentic AI frameworks for multi-step reasoning and automation
- Develop LLM-based solutions (RAG, embeddings, indexing, re-ranking)
- Translate business needs into scalable technical solutions
- Lead development efforts and collaborate across Agile teams
- Ensure performance, scalability, and compliance in enterprise environments
- Drive AI/ML solution delivery from concept through production
- 5 years of software engineering experience
- 4 years of full stack development (Java, .NET, or Python)
- 4 years with modern UI frameworks (React, Angular, or Node)
- 2 years of AI/ML or Generative AI experience
- Experience building LLM-based applications (RAG, embeddings, vector search)
- Knowledge of agentic AI / autonomous systems (or similar frameworks)
- Strong understanding of SDLC, Agile, and enterprise application design
- Experience with AI model lifecycle, governance, and risk/compliance
- Exposure to enterprise AI adoption strategies / GenAI Ops
- Background in financial services or regulated environments
- Experience working with distributed/global teams
- Understanding of human-centered AI design
- Strong hands-on engineer who can build and deliver quickly
- Experience with GenAI full stack application development
- Ability to lead initiatives and collaborate across teams
- Someone who can translate complex AI concepts into business solutions