Axius Technologies Inc.
LLM Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an LLM Engineer in Phoenix, AZ, offering a 4-month W2 contract. Key skills include Python, JavaScript, Angular, LLMs, and RAG pipelines. Experience with REST APIs and compliance in AI solutions is essential. Hybrid work, 1-2 days in-office.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
592
-
🗓️ - Date
March 3, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Phoenix, AZ
-
🧠 - Skills detailed
#Azure #Compliance #JavaScript #PostgreSQL #AI (Artificial Intelligence) #REST API #React #API (Application Programming Interface) #SQL (Structured Query Language) #REST (Representational State Transfer) #Docker #Python #Angular #Data Privacy #Azure cloud #Security #Cloud
Role description
AI Application Engineer / LLM Engineer
Location: Phoenix, AZ 85007 (Hybrid)
Duration:4 Months
W2 Contract
Job Description:
Position Description
Local to Phoenix only. This is hybrid, 1-2 days in the office a week.
Key Responsibilities:
Implementing RAG: Developing systems that retrieve enterprise data to enhance LLM responses.
Prompt Engineering: Designing, evaluating, and optimizing prompts to improve model performance.
API Development: Creating secure REST APIs to integrate OpenAI models into applications.
Security & Compliance: Ensuring AI solutions adhere to responsible AI principles, data privacy, and security standards.
Required Skills
Need to have Python, JavaScript, and Angular (all must be on resume)
LLM (large language models)
RAG pipeline (Retrieval-Augmented Generation)
OpenAI
Preferred Skills
SQL DB or PostgreSQL
REST API's
CI/CD
Docker
React
Azure cloud
AI Application Engineer / LLM Engineer
Location: Phoenix, AZ 85007 (Hybrid)
Duration:4 Months
W2 Contract
Job Description:
Position Description
Local to Phoenix only. This is hybrid, 1-2 days in the office a week.
Key Responsibilities:
Implementing RAG: Developing systems that retrieve enterprise data to enhance LLM responses.
Prompt Engineering: Designing, evaluating, and optimizing prompts to improve model performance.
API Development: Creating secure REST APIs to integrate OpenAI models into applications.
Security & Compliance: Ensuring AI solutions adhere to responsible AI principles, data privacy, and security standards.
Required Skills
Need to have Python, JavaScript, and Angular (all must be on resume)
LLM (large language models)
RAG pipeline (Retrieval-Augmented Generation)
OpenAI
Preferred Skills
SQL DB or PostgreSQL
REST API's
CI/CD
Docker
React
Azure cloud
