Staff Software Engineer (AI)

Location: Hybrid in New York or the San Francisco Bay Area. Office attendance is required a few days per week depending on team needs; some New York teams require three days onsite weekly. Travel for onsite client engagements may be required.

Annual salary: $210,000–$300,000 USD, with regional pay tiers; bonuses and equity are included in full-time offers.

Company

Builds an end-to-end AI platform that structures data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise.

What you will do

• Scope, architect, and lead implementation of AI-driven solutions, including LLM and agentic systems.
• Identify opportunities in ambiguous workflows and turn them into repeatable production systems.
• Lead architecture and trade-off discussions covering performance, scalability, cost, and reliability.
• Own projects from discovery through deployment, client delivery, coordination, and post-launch iteration.
• Build shared infrastructure, reusable components, internal playbooks, and MLOps practices for model versioning, monitoring, and lifecycle management.
• Coach mid-level engineers and shape forward-deployed AI engineering practices.

Requirements

• 8+ years of software engineering experience, including significant work with data, ML, or backend systems.
• Deep Python expertise and hands-on experience with Hugging Face, LangChain, OpenAI, Pinecone, LLMs, and AI agents.
• Experience with Docker, FastAPI, Kubernetes, cloud environments, full-stack and API-based deployment patterns.
• Knowledge of workflow orchestration, Kafka, schema governance, data contracts, quality enforcement, Delta/ETL pipelines, and replay processes.
• Experience designing scalable ML systems such as RAG pipelines and applying MLOps practices.
• Strong system design, product judgment, communication, client-facing leadership, and project ownership skills; willingness to be on-call for customers.

Nice to have

• Strong ML engineering instincts and experience with applied AI/ML-focused teams.
• Experience with Unity Catalog, policy management, and cluster or job orchestration.

Culture & Benefits

• Ownership-driven environment focused on advanced AI and human ingenuity.
• Work with clients applying AI to complex, high-impact business problems.
• Full-time offers include bonuses and equity.
• Compensation is adjusted by geographic pay tier, experience, skills, and market conditions.
• Reasonable accommodations are available throughout the application and interview process.