Generative AI Engineer: LLM Apps & RAG Systems

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

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.