We are seeking a hands-on Senior AI Engineer with a strong foundation in traditional Machine Learning and practical, real-world experience building and deploying LLM- and GenAI-driven systems.
Requirements
- 10-12 years of overall software engineering experience
- Strong backend development skills in Python, Java, Node.js, or similar languages
- Experience designing and building REST or gRPC-based services
- Solid understanding of distributed system design
- Containerization and orchestration experience (Docker, Kubernetes)
- Hands-on experience across traditional ML and modern GenAI systems
- Proficiency with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalents
- Experience building or deploying ML-driven production systems, LLM-based applications
- Ability to select ML vs. LLM-driven approaches based on business and operational constraints
- Cloud & DevOps experience with at least one major cloud platform (AWS, Azure, or GCP)
- Experience with CI/CD pipelines and deployment automation
- Understanding of model, code, and configuration versioning best practices
- Observability & Production Readiness experience with logging, monitoring, and tracing for production systems
- Familiarity with system resilience patterns such as rate limiting, failover strategies, kill-switch mechanisms
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Health Insurance
- Paid Holidays