MCSAM - LangChain Developer - LLM/GPT

We aspire to build high-quality, innovative & robust software. If you are a hands-on platform builder with significant experience in developing scalable data platforms, look no further.

Your Responsibilities As a Langchain Developer

• Develop and optimize applications using LangChain and LLMs (e.g., GPT-4, Llama, Claude).
• Design and implement prompt engineering, memory management, and retrieval-augmented generation (RAG) techniques.
• Integrate external APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and knowledge bases.
• Work with frameworks like FastAPI, Flask, Django, or similar for API development.
• Fine-tune and optimize open-source or proprietary LLMs for task-specific applications.
• Implement tools for text embedding, retrieval, and summarization.
• Collaborate with backend developers, and product teams to deploy AI solutions.
• Ensure security and scalability of AI-powered applications.
  
  

Required Skills & Qualifications

• Strong proficiency in Python and experience with LangChain.
• Hands-on experience with OpenAI, Hugging Face, Anthropic, Cohere, or other LLM providers.
• Experience working with vector databases (Pinecone, FAISS, Weaviate, ChromaDB, etc.).
• Familiarity with LLM orchestration, prompt engineering, and chatbot development.
• Knowledge of retrieval-augmented generation (RAG) and embedding models.
• Experience with API development (FastAPI, Flask, Django).
• Understanding of cloud services like AWS, GCP, or Azure.
• Proficiency in SQL and NoSQL databases for data storage and retrieval.
• Strong problem-solving and debugging skills.
  
  

Preferred Qualifications

• Experience with fine-tuning LLMs and transformer models.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Prior experience in AI/ML-related projects.
  
  

(ref:hirist.tech)