Join Our Team
Shape the future of AI with innovative minds and cutting-edge technology
Why Work at Paryl LLC?
Join a dynamic team of AI experts, work on groundbreaking projects, and help businesses transform through artificial intelligence. We offer competitive compensation, flexible work arrangements, and opportunities for continuous learning and growth.
Employee Benefits
Competitive Salary
Industry-leading compensation packages
Remote Work
Flexible hybrid and remote work options
Learning & Development
Continuous training and conference attendance
Health Benefits
Comprehensive health, dental, and vision coverage
Senior AI Engineer - LLM Specialist
Full-timeLead the development and deployment of large language model solutions for enterprise clients...
Lead the development and deployment of large language model solutions for enterprise clients. Work with cutting-edge AI technologies to solve complex business problems and drive innovation in natural language processing applications. You'll be responsible for architecting scalable LLM solutions, optimizing model performance, and ensuring successful client deployments.
Requirements & Skills
Technical Skills
- 5+ years in ML/AI development
- Expert in Python, PyTorch/TensorFlow
- Experience with transformer architectures
- LLM fine-tuning and deployment
- Proficiency in NLP libraries (Hugging Face, spaCy)
- Experience with MLOps and model versioning
Experience
- Production ML system deployment
- Cloud platforms (AWS/Azure/GCP)
- Model optimization and scaling
- Client-facing project delivery
- API development and integration
- Performance monitoring and debugging
AI Research Scientist - Prompt Engineering
Full-timeResearch and develop advanced prompt engineering techniques for optimal AI model performance...
Research and develop advanced prompt engineering techniques for optimal AI model performance. Lead innovation in prompt design methodologies, create systematic approaches for prompt optimization, and establish best practices for AI interaction patterns across diverse use cases and industries.
Requirements & Skills
Research Skills
- PhD in AI/ML or equivalent experience
- Published research in NLP/AI
- Expertise in prompt engineering
- Statistical analysis and experimentation
- A/B testing methodologies
Technical Expertise
- Deep understanding of LLM architectures
- Experience with GPT, Claude, LLaMA models
- Programming in Python and R
- Knowledge of cognitive psychology
- Familiarity with reinforcement learning
ML Operations Engineer
Full-timeBuild and maintain robust ML infrastructure and deployment pipelines for enterprise AI solutions...
Build and maintain robust ML infrastructure and deployment pipelines for enterprise AI solutions. Design scalable architectures for model training, deployment, and monitoring. Ensure high availability and performance of AI systems while implementing best practices for MLOps and DevOps.
Requirements & Skills
Infrastructure
- 3+ years in DevOps/MLOps
- Kubernetes and Docker expertise
- CI/CD pipeline development
- Cloud infrastructure (AWS/GCP/Azure)
- Infrastructure as Code (Terraform)
ML Systems
- Model deployment and serving
- Monitoring and observability tools
- Distributed computing frameworks
- Database management (SQL/NoSQL)
- API development and management
AI Solutions Consultant
Full-timeBridge the gap between technical AI capabilities and business needs for enterprise clients...
Bridge the gap between technical AI capabilities and business needs for enterprise clients. Analyze client requirements, design AI solutions, and guide implementation strategies. Work closely with technical teams and business stakeholders to ensure successful AI adoption and measurable business impact.
Requirements & Skills
Business Skills
- 5+ years in consulting or business analysis
- Strong presentation and communication
- Project management experience
- Client relationship management
- Business process optimization
Technical Knowledge
- Understanding of AI/ML concepts
- Data analysis and visualization
- Basic programming knowledge
- Enterprise software integration
- ROI analysis and metrics
Computer Vision Engineer
Full-timeDevelop cutting-edge computer vision solutions for industrial and commercial applications...
Develop cutting-edge computer vision solutions for industrial and commercial applications. Design and implement image processing algorithms, object detection systems, and automated visual inspection tools. Work on diverse projects from medical imaging to manufacturing quality control.
Requirements & Skills
Computer Vision
- 4+ years in computer vision
- OpenCV and image processing
- CNN architectures and training
- Object detection (YOLO, R-CNN)
- Image segmentation techniques
Technical Stack
- Python and C++ programming
- PyTorch/TensorFlow expertise
- CUDA and GPU programming
- Real-time processing systems
- Edge deployment optimization