Data Scientist | $40-$60/hr

Codefeast; United States; On-site; USD 130,000 - 190,000; Full time

Job summary

Codefeast is seeking an experienced Generative AI Engineer to design, build, and deploy LLM-powered applications. You will develop RAG pipelines, AI agents, and semantic search solutions, integrating multiple LLM providers and open-source models.

You will work on embeddings, vector search, and prompt engineering to ensure accurate, scalable outputs with attention to latency and cost considerations. A strong foundation in NLP and REST services is required.

Qualifications

• 3–6 years of experience in AI/ML, ML 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
• 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 ML fundamentals
• Experience developing REST APIs and production AI services

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

Python

LLMs

RAG

Prompt engineering

Embeddings

Vector search

LangChain

LLM APIs

Open-source models

NLP basics

REST APIs

Tools

Pinecone

Weaviate

Milvus

FAISS

Chroma

Other vector DBs

Job description

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

• Technical Assessment/Technical Interview