
Fullstack AI Architect
1 week ago
This role combines Fullstack development with Generative AI, LLMs, and ML expertise.
Key Responsibilities:
- Lead end-to-end development of AI-powered applications (backend, frontend, and AI integration).
- Build and integrate LLMs, RAG systems, and AI agents.
- Develop APIs and backend services using Python (FastAPI/Django/Flask).
- Create modern, interactive UIs with React.js / Next.js.
- Work with relational & NoSQL databases, vector databases, and async processing.
- Deploy solutions on cloud platforms with Docker/Kubernetes & CI/CD pipelines.
- Apply ML techniques for structured data (classification, forecasting, anomaly detection).
- Mentor team members, review code, and ensure best practices.
Required Skills:
- 8+ years in Fullstack Development + AI/ML.
- Strong in Python (FastAPI/Django/Flask) and React.js/Next.js.
- Proven expertise in Generative AI (LLMs, RAG, AI Agents, Prompt Engineering).
- Solid foundation in traditional ML (scikit-learn, TensorFlow, PyTorch).
- Cloud, CI/CD, and containerization experience.
- Strong leadership, problem-solving, and system design skills.
Nice to Have:
- Knowledge of AI safety, explainability (LIME, SHAP).
- Experience with multimodal AI or edge AI.
- Prior leadership of AI/ML projects and mentoring teams.
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