Fullstack AI Architect

This is a fully remote position, open to applicants in Texas.

📋 Description

• Design and implement distributed architectures for large-scale, cloud-based enterprise systems (AWS, Azure, GCP).

• Incorporate Agentic AI capabilities into enterprise software solutions.

• Serve as a technical authority, establishing standards for security, scalability, and performance to prevent subpar code or weak architectures from being deployed.

• Convert ambiguous customer requirements into concrete technical designs.

• Facilitate discussions, challenge concepts, and align teams towards a definitive technical direction.

• Work collaboratively with engineers and stakeholders to ensure the prompt delivery of MVPs and production-ready solutions.

• Create and develop robust back-end services utilizing Node.js, Python, or other back-end technologies.

• Integrate large language models (LLMs) and multimodal AI models into applications.

• Enhance application performance, ensuring efficiency in AI inference and API response times.

• Maintain security, scalability, and compliance for AI-driven applications.

• Keep abreast of the latest developments in Generative/Agentic AI, web development, and cloud technologies.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

• Over 6 years of experience in full-stack development, demonstrating a history of building scalable, production-ready systems.

• Strong expertise in JavaScript/TypeScript, Python, and contemporary front-end frameworks (React, Vue, or Angular).

• Familiarity with agentic frameworks such as LangChain, AutoGen, or CrewAI.

• Practical experience with integrating AI models via APIs (OpenAI, Hugging Face, etc.).

• Understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques.

• Proficiency with cloud platforms (e.g., AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.

• Strong grasp of database technologies (SQL, NoSQL, Firebase, MongoDB, PostgreSQL).

• Ability to design scalable and maintainable architectures for AI-driven applications.

• Capable of collaborating closely with cross-functional teams to deliver cohesive, end-to-end functionality.

• Knowledge of message queues (e.g., RabbitMQ, Kafka) and caching systems (e.g., Redis).

🏝️ Benefits

• Medical and dental coverage

• Disability

• Retirement benefits

• Paid leave

• Paid time off

• Discretionary annual bonus program

• Professional development opportunities