Senior Python & AI Developer: Agentic AI & LLMs

Valiant Technologies LLC

Weehawken (NJ)

On-site

USD 83,000 - 96,000

Full time

2 hours ago
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Job summary

Valiant Technologies LLC in Weehawken, NJ, is seeking experienced Python/AI Developers for an 8-month contract with potential extension. Candidates should have hands-on expertise in Agentic AI, LLM integration, and enterprise automation within Python-based applications.

The role focuses on building AI-driven workflows, AI agents, and reusable libraries, plus modernization of legacy apps using AI-assisted development tools. Strong testing practices are required.

Qualifications

  • 6+ years of hands-on Python development.
  • Strong experience in Agentic AI / AI agent development.
  • Hands-on experience with LLM integration and Generative AI.
  • Experience with Lang Chain, Lang Graph, Crew AI, or Auto Gen.
  • Python frameworks: FastAPI, Flask, or Django.
  • Experience with AI/ML libraries – Pandas, NumPy, Scikit-learn.
  • Knowledge of Enterprise Automation and workflow orchestration.
  • Experience with Microsoft Copilot / AI-assisted development tools.
  • Knowledge of Pytest, Unittest, and Spec-Driven Development.

Responsibilities

  • Develop Python applications, backend services, and AI-driven solutions.
  • Design and implement AI agents and LLM-powered workflows.
  • Build enterprise automation solutions and reusable Python libraries.
  • Modernize legacy applications using AI-assisted development tools.
  • Perform code reviews, testing, debugging, and optimization.

Skills

Python development
Agentic AI
LLM integration
Lang Chain / Lang Graph
Python frameworks
AI/ML libraries
Enterprise automation
Copilot / AI tools
Testing frameworks

Job description

Valiant Technologies LLC in Weehawken, NJ, is seeking experienced Python/AI Developers for an 8-month contract with potential extension. Candidates should have hands-on expertise in Agentic AI, LLM integration, and enterprise automation within Python-based applications.

The role focuses on building AI-driven workflows, AI agents, and reusable libraries, plus modernization of legacy apps using AI-assisted development tools. Strong testing practices are required.

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