Note: The job is a remote job and is open to candidates in USA. Codefeast is seeking an experienced Generative AI Engineer to build and deploy production-grade LLM-powered applications. The role focuses on developing RAG pipelines, AI agents, copilots, conversational AI, intelligent search solutions, and optimizing generative AI systems for performance, scalability, latency, and cost.
Responsibilities
- Design, develop, and deploy Generative AI and LLM-powered applications
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines
- Develop AI agents, copilots, conversational AI, and intelligent search solutions
- Integrate LLMs from providers such as OpenAI, Anthropic, Google, or open-source model ecosystems
- Implement prompt engineering, embeddings, vector search, and semantic retrieval
- Evaluate LLM outputs for accuracy, relevance, hallucinations, and overall response quality
- Optimize GenAI applications for performance, scalability, latency, and cost
Skills
- 3–6 years of experience in AI/ML, Machine Learning Engineering, Data Science, or AI Engineering
- Strong programming skills in Python
- Hands-on experience building applications using LLMs and Generative AI
- Strong understanding of RAG architecture, prompt engineering, embeddings, and vector search
- Experience with frameworks such as LangChain, LlamaIndex, LangGraph , or similar
- Experience working with LLM APIs and/or open-source models
- Familiarity with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, or similar
- Understanding of NLP, Transformers, attention mechanisms, and Machine Learning fundamentals
- Experience developing REST APIs and production AI services
Company Overview