Related skills
nlp docker aws sql python📋 Description
- Architect and build enterprise AI and conversational systems for coaching workflows.
- Develop and refine LLM-based components for production use.
- Integrate diverse data sources to improve context and outputs.
- Collaborate with product, engineering, and design to translate needs into solutions.
- Prototype across backend, data pipelines, and frontend as needed.
- Build tooling, tests, and automation for reliable deployment and observability.
🎯 Requirements
- 3+ years in software/AI/ML; Master’s/PhD preferred.
- NLP/conversational interfaces; model behavior reasoning.
- NumPy, scikit-learn, Pandas, PySpark; SQL; visualization tools.
- AWS, GCP, Azure; Docker and Kubernetes.
- Strong software engineering; maintainable code; cross-functional.
- Growth mindset and clear communicator.
🎁 Benefits
- Ownership and rapid growth from day one.
- Direct responsibility for company-defining projects.
- Work with executives with strategy visibility.
- AI-first operator with cutting-edge models.
- Compensation: base + bonuses; health from day one.
- Equity and meaningful ownership; retirement plan; PTO.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!