Applied AI Engineer
Bright Vision Technologies
United StatesPosted 29 days agoDiscoveredMatch locked
RemoteFull Time10+ years expData Science
Bright Vision Technologies
is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Location
100% Remote (Continental United States)
Position Type
Full-time, Direct W2
Salary Range
$130,000-$180,000 Annually (based on experience)
Sponsorship
U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
Bright Vision Technologies is seeking a highly experienced
Applied AI Engineer
with
10+ years of experience
in Artificial Intelligence, Machine Learning, and Deep Learning to design, develop, and deploy enterprise-scale AI solutions. The ideal candidate will possess deep expertise in
Python, PyTorch or JAX, Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, and MLOps
, with a proven track record of taking AI models from research to production. This role requires strong technical leadership, hands-on development, and the ability to architect scalable, secure, and high-performance AI systems.
Key Responsibilities
- Design, develop, and deploy production-grade AI and machine learning solutions that address complex business challenges.
- Architect scalable training, inference, and MLOps pipelines for enterprise AI applications.
- Develop, fine-tune, evaluate, and optimize
Large Language Models (LLMs)
, deep learning models, and multimodal AI systems.
- Build AI applications leveraging
Retrieval-Augmented Generation (RAG)
, vector databases, embeddings, prompt engineering, and agentic AI frameworks.
- Design and implement machine learning pipelines for NLP, Computer Vision, recommendation systems, and predictive analytics.
- Optimize model performance, latency, scalability, and infrastructure utilization across cloud and distributed computing environments.
- Collaborate with data scientists, software engineers, product managers, and business stakeholders to deliver production-ready AI solutions.
- Establish best practices for model evaluation, Responsible AI, governance, security, monitoring, and lifecycle management.
- Mentor junior AI engineers and contribute to technical leadership, architecture reviews, and engineering best practices.
- Evaluate emerging AI technologies, foundation models, and frameworks to drive continuous innovation.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
•
10+ years of professional experience
in Artificial Intelligence, Machine Learning, Deep Learning, or Applied AI.
- Expert-level programming skills in
Python
with extensive experience using
PyTorch, JAX, or TensorFlow
.
- Proven experience developing and deploying
Large Language Models (LLMs)
, NLP, Computer Vision, and deep learning applications in production.
- Strong knowledge of distributed training, GPU optimization, model serving, and production ML deployment.
- Hands-on experience with
MLOps
, CI/CD pipelines, model monitoring, feature engineering, and automated ML workflows.
- Experience with cloud platforms such as
AWS, Microsoft Azure, or Google Cloud Platform (GCP)
for AI workloads.
- Strong understanding of machine learning algorithms, statistics, model evaluation, experimentation, and optimization techniques.
- Excellent problem-solving, communication, collaboration, and technical leadership skills.
Preferred Qualifications
- Experience with
LLM fine-tuning
,
Retrieval-Augmented Generation (RAG)
,
agentic AI
,
multimodal AI
, and vector databases such as
Pinecone, Weaviate, Milvus, or FAISS
.
- Hands-on experience with AI orchestration frameworks such as
LangChain
,
LlamaIndex
,
LangGraph
, or similar technologies.
- Experience deploying AI applications using Kubernetes, Docker, Ray, or distributed inference frameworks.
- Publications in AI/ML conferences, open-source contributions, patents, or recognized technical leadership in the AI community.
- Knowledge of Responsible AI, AI governance, model security, fairness, explainability, and regulatory compliance.
- Ph.D. or Master's degree with a specialization in Artificial Intelligence, Machine Learning, Computer Vision, or Natural Language Processing.
Interested in this opportunity? Apply today for immediate consideration!
Email your updated resume:
Call or Text: (908) 505-3545
Learn more:
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.
Originally posted on Himalayas
Not included in the source posting: about the role, benefits.
Skills
artificial-intelligencemachine-learningcomputer-visiondeep-learningllmgcpmlopsnlppythonpytorchragaws
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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