Generative AI Engineer (W2 only – Hybrid – San Antonio, TX / Denver, CO / Findlay, OH ) Contract

This is an W2 role so if interested please let me know the rate you are looking on W2.

Need 2 references with name, number, email, title and company for submission

Position: Generative AI Engineer
Duration: 12+ months contract
Location: San Antonio, TX / Denver, CO / Findlay, OH (Hybrid 4 days onsite a week)

JOB DESCRIPTION

SKILLS NEEDED : AZURE ; Python; Generative A.I.; Retrieval-Augmented Generation (RAG); Large Language Models (LLMs); Natural Language Processing (NLP); Vector databases & Graph databases; LLamaIndex; LangChain

Design and develop innovative Generative AI solutions, including exploration of various architecture choices, prompt engineering techniques, and fine-tuning strategies.

Leverage Retrieval Augmented Generation (RAG), Vector Databases, and Graph Databases to enhance the accuracy and relevance of generated outputs.

Integrate and orchestrate Generative AI tools like LLMs and Foundation Models into production-grade pipelines.

Evaluate and optimizing Generative AI workflows, ensuring high performance, reliability, and alignment with business goals.

Maintain deployed solutions, continuously improving their performance and addressing potential issues.

Stay up-to-date on the latest advancements in Generative AI research and development, actively seeking out new opportunities to innovate and improve.

Document and communicate technical concepts effectively to both technical and non-technical audiences.

Desired Skills and Experience

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

3+ years of experience in AI development and/or machine learning.

In-depth knowledge of Generative AI tools and techniques, including prompt engineering, retrieval-augmented generation, and text embedding.

Proficient in Python and other relevant programming languages (e.g., Java, C++).

Proficient with GenAI orchestration tools/libraries like LlamaIndex, LangChain, and others.

Familiarity with Vector Databases and their applications in AI systems.

Experience working with Large Language Models (LLMs) and Foundation Models.

Strong understanding of natural language processing (NLP) concepts and techniques.

Experience building and deploying production-grade AI systems.

Excellent communication, collaboration, and problem-solving skills.

A passion for innovation and staying current with the latest advancements in Generative AI.