AI Engineer Tech Lead
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 80–100/hr
Posted 24d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Lead end-to-end design and implementation of AI/ML and Generative AI solutions
- Own AI system architecture including model lifecycle, pipelines, and inference services
- Review code, models, and architectures to ensure quality, scalability, performance, and security
- Mentor and guide AI engineers and data scientists
- Define engineering best practices and MLOps standards
- Design, train, fine-tune, and deploy ML, DL, and LLM-based models
- Build pipelines for data ingestion, preprocessing, training, and evaluation
- Implement prompt engineering, RAG pipelines, and agentic workflows
- Optimize models for accuracy, latency, and cost
- Architect cloud-native, scalable AI solutions
- Integrate AI systems with enterprise platforms, APIs, and data sources
- Ensure security, privacy, compliance, and governance requirements are met
- Lead CI/CD for ML systems
- Implement model versioning, monitoring, and drift detection
- Drive observability and reliability of AI services
Requirements
- 8+ years of software engineering experience with 4+ years in AI/ML
- Proven experience in a Tech Lead or senior technical role
- Strong Python programming skills
- Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
- Experience with cloud platforms (AWS, Azure, or GCP)
Preferred
- Experience with Generative AI, LLMs, and agent-based systems
- Knowledge of AI ethics, explainability, and bias mitigation
- Master's degree or higher in Computer Science, AI, or related fields
Skills
- Python
- PyTorch
- TensorFlow
- Scikit-learn
- AWS
- Azure
- GCP
- LLM
- RAG
- MLOps
- CI/CD
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