Full Stack Developer(Python)

Location:Noida

Exp- 8-9 years

Parellel Resourec

2-11 pm Shift time

Key Responsibilities Full Stack Development Design, develop, and own end‑to‑end AI‑enabled applications using React for frontend FastAPI (Python) for backend services MongoDB for scalable, schema‑flexible data storage Build reusable, responsive, and high‑performance React components Develop secure, asynchronous,

RESTful and/or GraphQL APIs using FastAPI Design efficient MongoDB schemas, indexing strategies, and data access patterns.

Ensure seamless data flow and orchestration between frontend, backend, and AI services AI & ML Integration Integrate AI/ML models (LLMs, NLP, embeddings, recommendations, vision models) into FARM‑based systems Build backend orchestration layers for model inference, prompt workflows, and vector search Work with AI platforms such as: OpenAI / Azure OpenAI AWS AI services Hugging Face or custom ML models Optimize AI inference for latency, throughput, reliability, and cost Backend & API Architecture Design and maintain microservices‑oriented backend architecture using FastAPI Apply best practices for:

Async programming Background tasks API rate limiting and caching Implement authentication and authorization (OAuth2, JWT) .

Required Skills & Qualifications

Core Technical Skills Frontend: Strong proficiency in React, TypeScript, HTML5, CSS3 Experience building complex, data‑intensive UIs Backend:

Expert‑level Python Strong hands‑on experience with FastAPI API design, async programming, and performance tuning Database:

Advanced experience with MongoDB Schema design, indexing, aggregation pipelines AI / ML Exposure:

Practical experience integrating AI/ML or GenAI features Understanding of embeddings, vector search, and model APIs Cloud & DevOps: AWS / Azure / GCP 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.