Data Scientist | $40-$60/hr
$40 - $60 per hourCodefeast
Job Description
Data scientist – Generative AI Engineer
\n \nExperience: 3–6 Years
\nType: Contract
\nLocation: Remote
\nCompensation: $40–$60/hour
\n \nRole Overview
\nWe are looking for an experienced Generative AI Engineer with strong hands-on expertise in building and deploying LLM-powered applications, RAG systems, AI agents, and production-grade Generative AI solutions .
\n \nKey Responsibilities
\n- \n
- Design, develop, and deploy Generative AI and LLM-powered applications . \n
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines. \n
- Develop AI agents, copilots, conversational AI, and intelligent search solutions . \n
- Integrate LLMs from providers such as OpenAI, Anthropic, Google, or open-source model ecosystems. \n
- Implement prompt engineering, embeddings, vector search, and semantic retrieval . \n
- Evaluate LLM outputs for accuracy, relevance, hallucinations, and overall response quality . \n
- Optimize GenAI applications for performance, scalability, latency, and cost . \n
Key Requirements
\n- \n
- 3–6 years of experience in AI/ML, Machine Learning Engineering, Data Science, or AI Engineering . \n
- Strong programming skills in Python . \n
- Hands-on experience building applications using LLMs and Generative AI . \n
- Strong understanding of RAG architecture, prompt engineering, embeddings, and vector search . \n
- Experience with frameworks such as LangChain, LlamaIndex, LangGraph , or similar. \n
- Experience working with LLM APIs and/or open-source models . \n
- Familiarity with vector databases such as Pinecone, Weaviate, Milvus, FAISS, Chroma, or similar . \n
- Understanding of NLP, Transformers, attention mechanisms, and Machine Learning fundamentals . \n
- Experience developing REST APIs and production AI services . \n
Application Process
\n- \n
- Submit Application \n
- Technical Assessment/Technical Interview \n
- Final Selection \n
- Project Onboarding \n
$30 - $60 per hour
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