Applied AI Engineer

Bright Vision Technologies; Frisco (TX); A distancia; USD 115.000 - 165.000; Jornada completa

Descripción de la vacante

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 will integrate model capabilities into software products, develop data and inference workflows, evaluate output quality, and work with application and data engineers to deliver reliable AI-enabled features.

Formación

• Typically 5+ years in software engineering, applied AI, or machine learning application development.
• Strong Python programming 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 across technical teams.
• Experience working in iterative software delivery teams, participating in planning, defect triage, and release validation.

Responsabilidades

• Design and implement AI-enabled application features using 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.

Conocimientos

Python programming

Production software services

Data-driven applications

AI model inference

Herramientas

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

Descripción del empleo

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is an opportunity to contribute to technology initiatives in a collaborative environment with opportunities for professional growth.

Job Title: Applied AI Engineer

Location: Remote

Position Type: Full-time, Direct W2 - [Not open to C2C or 1099]

Salary Range: $115,000–$165,000 Annually

Experience Required: 5+ years

Sponsorship: U.S. Citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply. Bright Vision Technologies is unable to sponsor new H-1B visa petitions for this position.

Job Summary

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 will integrate model capabilities into software products, develop data and inference workflows, evaluate output quality, and work with application and data engineers to deliver reliable AI-enabled features.

Key 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.

Required Qualifications

• Experience Required: typically 5+ years in software engineering, applied AI, or machine learning application development; align with the approved requisition.
• Strong Python programming 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.

Preferred Qualifications

• 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.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.