Title: Intermediate AI Engineer

Location: Southwestern Region

Description

The Intermediate AI Engineer will contribute to the development of advanced AI applications, including next-generation chatbots leveraging large language models (LLMs) and natural language processing (NLP). This role involves collaborating with cross-functional teams, designing scalable AI models, and integrating innovative technologies into applications. The ideal candidate will bring expertise in full-stack development and AI technologies, coupled with strong problem-solving skills and a passion for innovation.

Responsibilities

Design and Development:

Architect, design, and develop advanced AI models for applications focusing on NLP and machine learning (ML).

Build scalable, high-performance solutions utilizing modern AI frameworks.

Collaboration

Work closely with product managers, UX/UI designers, and software engineers to integrate AI models into applications for seamless user experiences.

Testing And Optimization

Implement testing frameworks to evaluate AI models, refining and optimizing them based on performance metrics and user feedback.

Innovation

Stay current with advancements in AI, LLMs, NLP, and ML.

Research and apply new technologies and methodologies to enhance operations.

Documentation And Mentorship

Document processes, architectures, and best practices for AI model development.

Mentor junior team members in AI technologies and methodologies.

Security And Performance

Implement responsible AI solutions, focusing on security and data protection.

Optimize applications for speed and scalability.

Required Skills

Bachelor’s or Master’s degree in Computer Science, AI, ML, Engineering, or related fields.

3+ years of experience in full-stack development, with expertise in Python and AI/ML applications.

Experience building AI/ML solutions using LLMs and related technologies like OpenAI or Llama.

Proficiency in Python web frameworks (e.g., Django, Flask).

Strong understanding of object-oriented programming (OOP) principles.

Familiarity with database technologies (e.g., PostgreSQL, CosmosDB, MongoDB).

Experience with cloud services (e.g., Azure, AWS).

Proficient in front-end technologies like JavaScript, HTML5, and CSS3.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

Strong version control skills with Git.

Excellent problem-solving, communication, and teamwork abilities.

Desired Skills

Experience deploying Python solutions to Azure using Infrastructure as Code (e.g., Azure CLI, Bicep, Powershell/Bash).

Familiarity with Azure Machine Learning and AI tools (e.g., Azure ML Studio, Azure AI Studio).

Background in asset management or financial services

Employment Type

Contract

Compensation

Pay range: $49-$70/hour

Benefits

Learn more about our benefits offerings here.

EEO Statement

Learn more about our EEO policy here.