Job Summary (List Format):

- Location: Noida
- Experience Required: 3 to 5 years

Key Responsibilities:

- Full stack development of end-to-end AI-enabled applications.
- Design and develop frontend using React (with reusable, responsive, high-performance components).
- Build backend services using FastAPI (Python).
- Create scalable, schema-flexible data storage solutions with MongoDB; design effective schemas and indexing strategies.
- Develop secure, asynchronous RESTful and/or GraphQL APIs using FastAPI.
- Ensure seamless data flow between frontend, backend, and AI services.
- Integrate AI/ML models (LLMs, NLP, embeddings, recommendations, vision models) into existing systems.
- Build backend orchestration layers for model inference, prompt workflows, and vector search.
- Work with AI platforms (OpenAI, Azure OpenAI, AWS AI services, Hugging Face, or custom ML models).
- Optimize AI inference for latency, throughput, reliability, and cost.
- Design and maintain microservices-oriented backend architecture.
- Apply best practices for async programming, background tasks,



API rate limiting, and caching.
- Implement authentication and authorization using OAuth2/JWT.

Required Skills & Qualifications:

- Frontend:
- Strong proficiency in React, TypeScript, HTML5, CSS3.
- Experience building complex, data-intensive UIs.
- Backend:
- Expert-level Python programming.
- Extensive hands-on experience with FastAPI (API design, async programming, performance tuning).
- Database:
- Advanced experience with MongoDB (schema design, indexing, aggregation pipelines).
- AI/ML:
- Practical experience integrating AI/ML or GenAI features.
- Understanding of embeddings, vector search, and model APIs.
- Cloud & DevOps:
- Experience with AWS, Azure, or GCP.
- Knowledge of Docker, CI/CD pipelines, infrastructure best practices.

Nice-to-Have / Preferred:

- Experience with vector databases (Pinecone, FAISS, Weaviate, MongoDB Atlas Vector Search).
- Hands-on GenAI experience.

📌 Full Stack Developer(Python/AI) (India)
🏢 Sparix Global
📍 India