Data scientist – Generative AI Engineer
Experience: 3–6 Years
Type: Contract
Location: Remote
Compensation: $40–$60/hour
Role Overview
We 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 .
Key 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 .
Key Requirements
- 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 .
Application Process
- Submit Application
- Technical Assessment/Technical Interview
- Final Selection
- Project Onboarding
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