Artificial Intelligence Engineer

Qualifications

• Experience: 4-5+ years working with LLM frameworks, deployment, and scaling AI solutions

• Proficiency in Python

• Strong understanding of LLM frameworks (e.g., PyTorch, Langchain/Langgraph)

• Experience with AI deployment in production environments

• Soft Skills:

• Strong problem-solving and analytical thinking

• Effective communication and teamwork

• Adaptability and willingness to learn new AI technologies

• Familiarity with Bedrock AI tools and infrastructure

• Experience in building agent-based architectures

• Knowledge of other AI-related frameworks and libraries

Benefits

• Duration: 6-month contract + extension

• Compensation Range: $70-80/hr W2

Responsibilities

• In this role, you will develop intelligent, autonomous agents, design and optimize prompts, and implement LLM frameworks to enhance performance and scalability

• You will be crucial in deploying and scaling AI solutions to meet client needs effectively

• Develop agent-based applications that leverage AI to handle complex tasks

• Design and optimize prompt structures to enhance AI output accuracy

• Implement and fine-tune LLM frameworks for efficient response generation

• Oversee deployment and scaling of AI solutions, ensuring optimal performance in production environments

Full Description

Apply now: AI Engineer, Location is Hybrid (M-TH) in Houston, TX.

The start date is April 7th for this 6-month contract position.

Job Title: AI Engineer

Location-Type: Hybrid (M-TH) in Houston, TX.

Start Date Is: April 7th

Duration: 6-month contract + extension

Compensation Range: $70-80/hr W2

Job Description:

We are looking for a talented AI Engineer with strong expertise in Large LanguageModels (LLMs) and AI technologies.

In this role, you will develop intelligent, autonomous agents, design and optimize prompts, and implement LLM frameworks to enhance performance and scalability.

You will be crucial in deploying and scaling AI solutions to meet client needs effectively.

Day-to-Day Responsibilities:

• Develop agent-based applications that leverage AI to handle complex tasks.

• Design and optimize prompt structures to enhance AI output accuracy.

• Implement and fine-tune LLM frameworks for efficient response generation.

• Oversee deployment and scaling of AI solutions, ensuring optimal performance in production environments.

Must-Haves:

• Experience: 4-5+ years working with LLM frameworks, deployment, and scaling AI solutions.

• Skills:

• Proficiency in Python

• Strong understanding of LLM frameworks (e.g., PyTorch, Langchain/Langgraph)

• Experience with AI deployment in production environments

• Soft Skills:

• Strong problem-solving and analytical thinking

• Effective communication and teamwork

• Adaptability and willingness to learn new AI technologies

Nice-to-Haves:

• Familiarity with Bedrock AI tools and infrastructure

• Experience in building agent-based architectures

• Knowledge of other AI-related frameworks and libraries