Description:

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 enhance 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.

Skills