GenAI Automation developer | Iselin, NJ (Hybrid role 3 days a week onsite)

Overview

Hybrid
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Machine Learning Operations (ML Ops)
Generative Artificial Intelligence (AI)
Natural Language Processing
Machine Learning (ML)
Python
Microsoft Azure

Job Details

Local to Iselin, NJ or within 1 hour Distance

Title: GenAI Automation developer

Location: Iselin, NJ (Hybrid role 3 days a week onsite)

need local candidates

Duration: Long-Term Contract

JD:

GenAI Automation Technical Leadership:

  • Lead the design and architecture of GenAI-powered automation systems across multiple domains. Mentor and guide junior engineers and data scientists in best practices for GenAI development and deployment.
  • Drive technical decision-making, ensuring alignment with business goals and AI ethics. Establish coding standards, model evaluation protocols, and CI/CD pipelines for GenAI workflows.
  • Collaborate with product managers, stakeholders, and cross-functional teams to define technical roadmaps and deliverables.
  • Evaluate emerging GenAI technologies and recommend adoption strategies.

Engineering & Automation:

  • Build and deploy automation solutions using LLMs and GenAI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI).
  • Develop APIs, microservices, and integration layers to embed GenAI into enterprise systems.
  • Fine-tune and optimize models for tasks like summarization, document generation, code synthesis, and conversational AI.
  • Monitor model performance, manage drift, and implement feedback loops for continuous improvement.
  • Ensure compliance with data governance, security, and responsible AI standards.

Required Qualifications:

  • Bachelors or Masters degree in Computer Science, Engineering, or related field.
  • 5years of experience in software engineering, with 2+ years in AI/ML or automation.
  • Proven experience leading technical teams or projects in AI/ML or automation domains.
  • Strong proficiency in Python, cloud platforms (AWS, Azure, Google Cloud Platform), and ML frameworks (PyTorch, TensorFlow).
  • Deep understanding of LLMs, NLP, and GenAI model lifecycle.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications:

  • Experience with RPA tools (e.g., UiPath, Automation Anywhere).
  • Knowledge of MLOps, prompt engineering, and model fine-tuning.
  • Familiarity with enterprise architecture and scalable AI deployment strategies. Contributions to open-source AI projects or technical publications.

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