Full Stack AI Developer

Overview

Remote
Depends on Experience
Contract - W2
Contract - 1 Year(s)

Skills

AI Developer
Full Stack
GRC

Job Details

GeoLogics is working directly with the hiring manager at Raytheon Technologies for a Full Stack AI Developer 100% Remote

Raytheon Technologies

Full Stack AI Developer

"United States Citizens are encouraged to apply due to government contract restrictions"

Remote Position

Rate: OPEN - Hourly (w2 non-benefited or c2c [c2c you must have your name in the Articles of Incorporation])

Job Summary: We are seeking a talented and experienced Full Stack AI Developer to join our Governance, Risk, and Compliance (GRC) team. The successful candidate will be responsible for developing and implementing AI-driven solutions to automate GRC workflows and services. This role requires a deep understanding of both front-end and back-end development, as well as expertise in AI and machine learning technologies.

Key Responsibilities:

  • Partner with the RTX AI team to Design, develop, and deploy AI-based applications to automate GRC workflows.
  • Build and maintain scalable front-end interfaces and back-end services.
  • Implement machine learning models for predictive analytics, risk assessment, and compliance monitoring.
  • Automate data collection, processing, and reporting tasks to enhance GRC efficiency.
  • Develop custom dashboards and visualization tools for real-time monitoring of GRC metrics.
  • Ensure seamless integration of GRC tools with other enterprise systems.
  • Collaborate with the GRC team to understand requirements and deliver AI solutions that address their needs.
  • Optimize existing workflows and processes to improve compliance and risk management.

Qualifications:

  • Bachelor s or master s degree in computer science, Engineering, or a related field.
  • Proven experience as a Full Stack Developer with a focus on AI and machine learning.
  • Proficiency in programming languages such as Python, JavaScript, and Java.
  • Strong knowledge of front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js).
  • Experience with back-end frameworks (Node.js, Django, Flask, or Ruby on Rails).
  • Expertise in machine learning frameworks and libraries (TensorFlow, PyTorch, Keras, Scikit-Learn).
  • Familiarity with database management systems (SQL, NoSQL, MySQL, PostgreSQL, MongoDB).
  • Experience with cloud platforms (AWS, Google Cloud, Azure) and DevOps practices (CI/CD, Docker, Kubernetes).
  • Familiarity with platforms such as Snowflake and Databricks
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience in GRC-related projects or industries.
  • Knowledge of natural language processing (NLP) techniques.
  • Experience with Robotic Process Automation (RPA) tools.
  • Familiarity with regulatory compliance standards and frameworks.

If interested in learning more, please send an updated resume to , and I will call back with more information.

Thanks,

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