AI Backend Developer for Shopping Platform
Budget: $750 – $1,500 USD
Need a dev in helping with the AI backend of a information & shopper platform. The platform will utilize a natural language search interface integrated with MongoDB, LangChain, and LLaMA to provide seamless and intelligent search results for users. We need a skilled backend developer to bring this vision to life.
Key Responsibilities:
Develop and manage the integration of MongoDB with LangChain and LLaMA.
Configure and optimize the MongoDB database to store, index, and retrieve large datasets of parts and search queries.
Implement LangChain for orchestrating natural language processing workflows and connecting to LLaMA.
Integrate vector databases for efficient semantic search and retrieval.
Build API endpoints to connect the backend with the frontend (Next.js).
Ensure the security and scalability of the backend services.
Skills & Experience:
Proficiency in backend development using Python.
Experience with MongoDB (schema design, indexing, optimization).
Hands-on experience with LangChain and integrating large language models like LLaMA.
Familiarity with vector databases (e.g., FAISS, Chroma) for semantic search.
Strong understanding of RESTful API development.
Ability to work independently and communicate effectively with a remote team.
Nice to Have:
Experience with AI/ML model deployment in production environments.
Familiarity with DevOps practices for deploying and maintaining AI systems.
Key Responsibilities:
Develop and manage the integration of MongoDB with LangChain and LLaMA.
Configure and optimize the MongoDB database to store, index, and retrieve large datasets of parts and search queries.
Implement LangChain for orchestrating natural language processing workflows and connecting to LLaMA.
Integrate vector databases for efficient semantic search and retrieval.
Build API endpoints to connect the backend with the frontend (Next.js).
Ensure the security and scalability of the backend services.
Skills & Experience:
Proficiency in backend development using Python.
Experience with MongoDB (schema design, indexing, optimization).
Hands-on experience with LangChain and integrating large language models like LLaMA.
Familiarity with vector databases (e.g., FAISS, Chroma) for semantic search.
Strong understanding of RESTful API development.
Ability to work independently and communicate effectively with a remote team.
Nice to Have:
Experience with AI/ML model deployment in production environments.
Familiarity with DevOps practices for deploying and maintaining AI systems.