Fullstack Developer

2 weeks ago

Delhi Faridabad NCR Noida, India Market Xcel Data Matrix Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Title: Full Stack Developer

Experience Required: 4+ Years

Location: Onsite

Role Summary

We are seeking a skilled Full Stack Developer with hands-on experience in building scalable backend systems and intuitive frontend applications. The ideal candidate will have a strong foundation in modern web development, expertise in FastAPI, and exposure to GenAI infrastructures such as LangChain, Retrieval-Augmented Generation (RAG), and vector databases. This role is critical for developing client-facing GenAI interfaces as well as internal tools, dashboards, and annotation platforms.

Key Responsibilities

  • Backend Development:
  • Design, build, and optimize backend systems using FastAPI.
  • Integrate and manage vector databases (e.g., FAISS, Chroma) for retrieval workflows.
  • Implement LangChain/RAG infrastructure for GenAI-powered applications.
  • Ensure robust data persistence, API reliability, and scalability.
  • Frontend & Tools Development:
  • Build interactive dashboards, annotation tools, and PoC UIs for internal and client use.
  • Create seamless, user-friendly web applications with responsive design.
  • Collaborate with data scientists and product managers to translate requirements into intuitive interfaces.
  • System Integration & Deployment:
  • Develop and integrate APIs and microservices.
  • Work with cloud platforms (AWS/GCP/Azure) for deployment and scaling.
  • Ensure CI/CD pipelines and maintain DevOps best practices.

Qualifications & Skills

  • Must Have:
  • 4+ years of full-stack development experience.
  • Strong proficiency in Python (FastAPI) and JavaScript/TypeScript frameworks preferred).
  • Experience with vector databases (FAISS, Chroma, Pinecone, Weaviate).
  • Knowledge of LangChain, RAG, and LLM-based application development.
  • Hands-on experience with databases (SQL/NoSQL).
  • Familiarity with cloud services and containerization (Docker, Kubernetes).
  • Good to Have:
  • Experience building annotation tools, dashboards, or data-centric UIs.
  • Knowledge of data pipelines and model deployment workflows.
  • Prior experience with GenAI/ML-powered applications. Role & responsibilities

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