Job Description

Position Title:

Fullstack Architect – React, Python, AWS, and Generative AI

Job Summary:

We are seeking an accomplished Fullstack Architect with deep experience in designing and leading the development of large-scale applications using React, Python, and AWS, with a strong understanding of Generative AI (GenAI) integration.

In this leadership role, you will be responsible for defining the architectural vision, setting technical direction, and driving the execution of fullstack platforms that combine high-performance web development with the transformative potential of AI/LLMs. You will collaborate across engineering, product, AI/ML, and DevOps teams to deliver intelligent, scalable systems that power next-generation experiences.

Key Responsibilities:

Define and oversee fullstack software architecture using React (frontend), Python (backend), and AWS (cloud services).

Architect and integrate Generative AI models and frameworks (e.g., OpenAI, LangChain, Hugging Face) into production systems.

Lead design reviews, technical roadmaps, and architectural decisions across multiple projects and teams.

Ensure best practices in code quality, scalability, cloud infrastructure, and security.

Collaborate with senior stakeholders to align technical strategies with business goals.

Guide engineering teams in the adoption of modern GenAI tools, microservice design, and cloud-native technologies.

Evaluate and recommend emerging technologies and tools in the GenAI and fullstack development ecosystem.

Mentor engineers, set development standards, and drive architecture maturity and platform evolution.

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

8+ years of professional experience in fullstack development, including 3+ years in an architectural or technical leadership role.

Proven expertise in:

Frontend: React, Next.js, TypeScript

Backend: Python, FastAPI/Django/Flask

Cloud: AWS (Lambda, API Gateway, ECS, DynamoDB, S3, IAM)

Deep experience architecting systems with Generative AI capabilities, including LLMs, embeddings, and vector databases.

Strong background in microservices, event-driven systems, CI/CD, and API-first design.

Hands-on experience with security, performance, monitoring, and distributed systems.

Preferred Qualifications:

Experience with:

LangChain, RAG architecture, Vector DBs (Pinecone, Weaviate, FAISS, ChromaDB)

Serverless and containerized architectures (Fargate, ECS, Kubernetes)

MLOps workflows and AI model lifecycle management

AWS Certified Solutions Architect – Associate or Professional

Thought leadership in technical blogs, open-source contributions, or public speaking is a plus

Application Checklist:

LinkedIn Profile

GitHub Repositories or Open Source Contributions

Portfolio or Personal Website

GenAI-related projects, architecture diagrams, or case studies (if available)