1 day ago
Responsibilities
- Lead the design and delivery of AI-powered product features from idea to production.
- Build LLM-based systems for coaching insights and real-time recommendations during calls.
- Architect systems that support low latency and large-scale AI use cases.
- Define and implement AI and ML best practices across the engineering organization.
- Partner with Product and Engineering to identify high-impact AI opportunities.
- Build scalable data and feature pipelines to support AI use cases.
- Establish evaluation, monitoring, and feedback loops to improve model performance.
- Mentor engineers and raise the bar on applied AI engineering practices.
Requirements
- 7+ years of software engineering experience with strong hands-on AI and ML experience.
- Proven track record of shipping AI and ML systems into production.
- Experience building and deploying ML pipelines for training, inference, monitoring, and continuous improvement.
- Deep experience with LLMs and modern AI tooling, including prompting, RAG, embeddings, and agents.
- Experience training and fine-tuning models for domain-specific use cases.
- Strong system design skills and ability to build scalable, reliable AI systems.
- Experience working with large-scale data systems such as pipelines, warehouses, or streaming.
- Ability to operate in ambiguity and drive technical direction independently.
- Strong product mindset focused on customer impact.
Tech Stack
ClickHouseGoogle BigQuery
Categories
AI & MLData Engineering