Gen AI Engineer

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

LangChain
LlamaIndex
RAG pipelines

Job Details

Role: Gen AI Engineer Location: TX, USA ||Relocation also acceptable.

Job Details:

We are looking for a GenAI Engineer to design and build applications using large language models (LLMs). This role requires experience in integrating foundation models into products using frameworks like LangChain, LlamaIndex, and vector databases. Ideal for someone who can go beyond prompt crafting and build scalable, intelligent systems.

Key Responsibilities:

Build applications powered by LLMs (e.g., chatbots, document analyzers, code assistants).

Integrate GenAI tools into web apps using APIs and SDKs (OpenAI, Anthropic, etc.).

Fine-tune models or apply retrieval-augmented generation (RAG) techniques.

Implement vector stores and embeddings for document Q&A (e.g., FAISS, Pinecone, ChromaDB).

Collaborate with product and backend teams to ensure GenAI alignment with user needs.

Skills & Experience:

Strong Python skills; experience with LangChain, LlamaIndex, HuggingFace.

Familiarity with embeddings, tokenization, and transformers.

Knowledge of vector databases and RAG pipelines.

Understanding of prompt engineering and few-shot learning.

Experience with cloud platforms and deploying GenAI apps at scale.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.