Staff Software Engineer, Applied AI
Valence · Remote · San Francisco, California · Toronto, Ontario · New York, New York ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote available
- AI & LLM focus
- Enterprise scale
- Equity included
As a founding Applied AI Engineer, you will define and build intelligent systems that deliver personalized leadership coaching at scale. You will work at the intersection of generative AI research and product execution, collaborating with cross-functional teams to solve complex enterprise challenges.
Your work will directly impact how Fortune 500 companies utilize AI for learning and development, transforming raw data into actionable, context-aware insights for leaders worldwide.
What you'll do
- Architect enterprise-grade AI and conversational systems for coaching workflows
- Develop and refine LLM-based components for performance and reliability
- Integrate structured and unstructured data to enhance contextual understanding
- Partner with product and design teams to translate user needs into technical solutions
- Prototype and iterate on backend services, data pipelines, and frontend interactions
- Build tooling and automation for model deployment, observability, and testing
- Streamline data and science workflows to enable fast experimentation
What you'll need
- 8+ years of experience in software engineering, AI/ML, or data-intensive systems
- Advanced degree in Computer Science, ML, Data Science, or related field preferred
- Familiarity with NLP, conversational interfaces, and information retrieval
- Experience with NumPy, scikit-learn, Pandas, PySpark, and SQL
- Proficiency in cloud environments such as AWS, GCP, or Azure
- Knowledge of containerization and orchestration using Docker and Kubernetes
- Strong software engineering skills including debugging distributed systems
- Ability to explain technical concepts to non-technical stakeholders
Nice to have
- Experience with ML lifecycle tools like MLflow or Weights & Biases
- Familiarity with Cloud ML services
- Past work building generative AI applications
Stack
- Python
- NumPy
- scikit-learn
- Pandas
- PySpark
- SQL
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- LLMs
How you'll work
- Fully remote for most candidates
- Hybrid option available in NYC or Toronto
- Must collaborate with colleagues in UK time zones
- Requires valid travel documents for US without work restrictions
- Full-time position requiring high focus and availability
What you get
- Competitive salary with base and bonuses
- Meaningful equity in a venture-backed company
- Comprehensive health coverage from day one
- Generous PTO and company-wide shutdowns
- Paid parental leave
- Retirement plan support for US and global employees
- Top-up equity grants based on performance
Hiring process
- Third-party verification of employment history and education
- Identity and LinkedIn profile checks
- Reference checks required before offer finalization