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Senior Full Stack and Generative AI Technical Architect - Remote / Telecommute

Cynet Systems
7 days ago
Contract
Remote
$63 - $68 USD hourly
Generative AI

Pay Range: $63.00hr - $68.00hr

Job Overview:

The candidate will serve as a Technical Architect with strong expertise in full-stack development, enterprise application architecture, and Generative AI. The role requires hands-on experience across Java, .NET, Python, modern UI technologies, databases, APIs, and AI-driven application architecture.

Seeking a Technical Architect with strong expertise in full-stack development, enterprise application architecture, and Generative AI.

Key Responsibilities:

  • Design and architect scalable, secure, high-performance full-stack enterprise applications.
  • Provide hands-on technical expertise in Java, .NET/.NET Core, and Python.
  • Architect modern front-end applications using Angular, TypeScript, JavaScript, HTML, and CSS.
  • Design REST APIs, microservices, backend services, and system integrations.
  • Work with MongoDB, SQL Server, Oracle, PostgreSQL, and other relational/NoSQL databases.
  • Architect and develop Generative AI solutions using LLMs, RAG, embeddings, vector databases, prompt engineering, and AI agents.
  • Design integration patterns between AI solutions and enterprise applications/APIs.
  • Define application architecture, technical standards, design patterns, reusable components, and coding best practices.
  • Ensure scalability, security, performance, reliability, and maintainability of solutions.
  • Support cloud-based architecture, CI/CD, DevOps, and application modernization.
  • Perform architecture, design, and code reviews and provide technical guidance to development teams.
  • Collaborate with business, engineering, product, security, and other stakeholders to translate requirements into technical solutions.

Required Skills:

  • Java, .NET/.NET Core, and Python.
  • Angular, TypeScript, JavaScript, HTML, and CSS.
  • REST APIs, Microservices, and Solution Architecture.
  • MongoDB, SQL Server, Oracle, PostgreSQL, and other SQL/NoSQL Databases.
  • LLMs, RAG, Embeddings, Vector Databases, Prompt Engineering, and AI Agents.
  • Cloud, CI/CD, and DevOps.