Applied AI Engineer

Bright Vision Technologies • Frisco, TX

4d • $115,000 - $165,000 • Remote

About The Position

Bright Vision Technologies is seeking an Applied AI Engineer to build production-oriented applications that use machine learning models and foundation-model services to solve practical business problems. The role integrates model capabilities into software products, develops data and inference workflows, evaluates output quality, and works with application and data engineers to deliver reliable AI-enabled features. This is a remote, full-time, direct W2 position.

Requirements

• Typically 5+ years of experience in software engineering, applied AI, or machine learning application development.
• Strong Python programming skills and experience building production software services or data-driven applications.
• Understanding of machine learning concepts, model inference, embeddings, evaluation, and common AI application patterns.
• Experience integrating model endpoints or AI services through REST APIs and application frameworks.
• Working knowledge of data preparation, SQL, version control, unit testing, and software delivery practices.
• Ability to evaluate model behavior, handle edge cases, and consider latency, scalability, and operational cost.
• Strong analytical, problem-solving, and communication skills when working across technical disciplines.
• Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation as appropriate to the assignment.

Nice To Haves

• Experience with PyTorch, TensorFlow, Hugging Face, or cloud AI platforms.
• Exposure to retrieval-augmented generation, vector search, prompt evaluation, or agentic workflows.
• Familiarity with Docker, Kubernetes, model monitoring, or automated deployment practices.
• Relevant AI, machine learning, or cloud platform certification.

Responsibilities

• Design and implement AI-enabled application features using appropriate machine learning or foundation-model services.
• Develop Python-based data preparation, inference, evaluation, and integration components.
• Connect model services to enterprise applications through APIs, asynchronous workflows, and secure service patterns.
• Evaluate model output quality, latency, cost, and reliability using measurable test datasets and evaluation methods.
• Collaborate with product, data, and software engineering teams to deploy, monitor, and improve AI capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed