AI Engineer - Large Language Models

As an AI Developer with 1-3 years of experience, you will be joining a team to build cutting-edge applications powered by Large Language Models (LLMs). Your role will involve designing, developing, and optimizing intelligent systems using modern AI frameworks and tools. Key Responsibilities: - Design and develop applications leveraging Large Language Models (LLMs) - Build and optimize RAG (Retrieval-Augmented Generation) pipelines - Work with frameworks like LangChain, LangGraph, or similar LLM orchestration tools - Integrate and manage vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS) - Implement prompt engineering strategies and improve model responses - Develop scalable and efficient AI system architectures - Monitor, debug, and optimize LLM applications using observability tools (e.g., Langfuse or similar) - Collaborate with backend and product teams to integrate AI features into production systems - Stay updated with the latest advancements in AI/LLM ecosystem Qualifications Required: - 1-3 years of hands-on experience in AI/ML or backend development with AI exposure - Strong understanding of LLMs and generative AI concepts - Experience with LangChain, LangGraph, or similar frameworks - Practical experience with RAG architectures and pipelines - Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Weaviate, FAISS) - Familiarity with observability tools like Langfuse, Helicone, or similar - Proficiency in Python (preferred) or Node.js - Experience working with APIs (OpenAI, Anthropic, etc.) - Understanding of embeddings, chunking, and retrieval strategies - Good problem-solving and debugging skills This role requires 1-3 years of experience in AI application development. As an AI Developer with 1-3 years of experience, you will be joining a team to build cutting-edge applications powered by Large Language Models (LLMs). Your role will involve designing, developing, and optimizing intelligent systems using modern AI frameworks and tools. Key Responsibilities: - Design and develop applications leveraging Large Language Models (LLMs) - Build and optimize RAG (Retrieval-Augmented Generation) pipelines - Work with frameworks like LangChain, LangGraph, or similar LLM orchestration tools - Integrate and manage vector databases (e.g., Pinecone, Weaviate, Qdrant, FAISS) - Implement prompt engineering strategies and improve model responses - Develop scalable and efficient AI system architectures - Monitor, debug, and optimize LLM applications using observability tools (e.g., Langfuse or similar) - Collaborate with backend and product teams to integrate AI features into production systems - Stay updated with the latest advancements in AI/LLM ecosystem Qualifications Required: - 1-3 years of hands-on experience in AI/ML or backend development with AI exposure - Strong understanding of LLMs and generative AI concepts - Experience with LangChain, LangGraph, or similar frameworks - Practical experience with RAG architectures and pipelines - Hands-on experience with vector databases (e.g., Pinecone, Qdrant, Weaviate, FAISS) - Familiarity with observability tools like Langfuse, Helicone, or similar - Proficiency in Python (preferred) or Node.js - Experience working with APIs (OpenAI, Anthropic, etc.) - Understanding of embeddings, chunking, and retrieval strategies - Good problem-solving and debugging skills This role requires 1-3 years of experience in AI application development.