Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
June 21, 2026
Full Job Description
đź“‹ Description
- • Lead and mentor a team of Forward Deployed AI Engineers, owning technical direction, code quality, execution standards, and individual growth
- • Design and implement production-ready AI systems that integrate models, agents, retrieval, evaluation, and execution to align with real business outcomes
- • Work directly with enterprise customer stakeholders in high-visibility settings to communicate system behavior, tradeoffs, limitations, and paths for improvement
- • Operate and improve live AI systems by measuring performance, identifying failure modes, debugging issues, and rapidly iterating on reliability, quality, and usefulness
- • Integrate AI systems into customer data platforms, APIs, and existing applications, making pragmatic design decisions that balance speed, robustness, maintainability, and long-term operability
- • Take full accountability for production outcomes and adapt systems as business requirements evolve
- • Serve as a technical peer to customer architecture and engineering teams, understanding how AI systems fit within broader enterprise ecosystems
- • Apply AI-native working practices daily—using AI tools to write and debug code, explore designs, analyze data, and automate repetitive tasks
- • Stay actively curious about new model capabilities and techniques, incorporating them into system development and iteration cycles
- • Travel to customer sites 10–30% of the time based on project needs, customer requirements, and engagement scope
- • Collaborate closely with Distyl’s AI strategy team to ensure deployed systems deliver measurable business value
- • Maintain a 100% production deployment success rate by enforcing rigorous engineering standards and operational discipline
- • Operate in a hybrid model requiring 3+ days per week (Tuesday–Thursday) in the San Francisco office
- • Shape system architecture and lead technical execution for mission-critical workflows across telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations
- • Contribute to Distyl’s reputation as one of the few enterprise AI companies with a profitable business and zero failed production deployments
🎯 Requirements
- • 5+ years of engineering experience, including as a tech lead or engineering lead on customer-facing or production AI projects
- • Ownership mentality for AI systems, taking responsibility for whether systems deliver intended value in production
- • Technical leadership experience guiding engineers through decision-making, execution, mentorship, and delivery (management experience not required)
- • Strong solutions architecture fundamentals: experience with cloud systems, system integrations, API design, and data engineering
- • AI-Native Working Style: daily use of AI tools for coding, debugging, design exploration, data analysis, and automation
- • Willingness to travel 10–30% for customer engagements
🏖️ Benefits
- • Base salary range of $180K–$250K, depending on experience, location, and level, plus meaningful equity
- • 100% covered medical, dental, and vision for employees and dependents
- • 401(k) with additional perks including commuter benefits and in-office lunch
- • Access to state-of-the-art AI models and generous usage of modern AI tools
- • Ownership of high-impact projects across top enterprise customers
- • Mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Distyl Inc.
Distyl is a cloud-native platform designed to simplify and accelerate the development and deployment of machine learning (ML) models. It provides a unified environment for data preparation, model training, versioning, and deployment, enabling data scientists and ML engineers to move from experimentation to production faster. The platform offers features such as automated data pipelines, managed training infrastructure, and scalable model serving. Distyl aims to reduce the complexity and operational overhead associated with MLOps, allowing organizations to focus on building and deploying impactful ML solutions. It supports various ML frameworks and integrates with existing cloud infrastructure.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
Harvey AI Inc.
1 month ago
Heidi Health Pty Ltd
3 months ago
1 month ago
1 month ago