Lead AI Engineer
About This Role
As our Lead AI Engineer, you'll be at the forefront of AI innovation, architecting and deploying production-grade machine learning systems. You'll lead technical initiatives, mentor talented engineers, and work on challenging problems involving Large Language Models, autonomous AI systems, and enterprise-scale deployments.
Why Join DTC Force?
- Work on cutting-edge AI and technology projects
- 100% remote work flexibility
- Collaborative and supportive team culture
- Continuous learning and professional development opportunities
- Competitive compensation and benefits package
Required Qualifications
We're looking for an experienced AI/ML professional with the following qualifications:
Experience & Leadership
8+ years in AI/ML engineering with proven hands-on leadership experience leading technical teams and driving AI initiatives
Core AI Expertise
Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing with a strong theoretical foundation and practical application
Programming & Frameworks
Advanced proficiency in Python and ML/DL frameworks including PyTorch, TensorFlow, and scikit-learn
LLM & Advanced AI
Strong experience with Large Language Models, prompt engineering, fine-tuning techniques, and agentic AI frameworks
Production Deployment
Proven track record of deploying and maintaining AI systems in production environments at scale
Cloud Infrastructure
Strong background in cloud platforms including AWS, GCP, or Azure with experience in distributed systems
DevOps & Orchestration
Hands-on experience with containers, orchestration, and APIs including Docker, Kubernetes, and REST/gRPC protocols
RAG & Vector Systems
Experience with Retrieval-Augmented Generation architectures, vector databases, and embedding systems
Advanced AI Techniques
Knowledge of reinforcement learning, multi-agent systems, or autonomous AI applications
Data Engineering
Experience with data engineering, streaming systems, and building large-scale data pipelines
Key Responsibilities
- Design and architect scalable AI/ML solutions for complex business problems
- Lead the development of LLM-powered applications and intelligent systems
- Build and optimize RAG systems with vector databases for enhanced AI capabilities
- Implement and fine-tune state-of-the-art models for production use
- Mentor and guide engineering team members on AI/ML best practices
- Collaborate with stakeholders to translate business requirements into technical solutions
- Establish engineering standards and drive technical excellence
- Stay current with emerging AI technologies and incorporate them strategically
Job Details
Location
Remote
Job Type
Full-time
Experience
8+ Years
Salary
Competitive
Category
Engineering
Posted
Jan 26, 2026

