webAI - Senior Forward Deployed AI Engineer
Requirements
• 5+ years of combined experience in software engineering and machine learning. • Active US Security clearance • Proven track record of deploying and maintaining machine learning/AI systems in production. • Strong expertise in ML frameworks such as PyTorch, TensorFlow, ONNX, JAX, etc. • Experience debugging complex systems involving data pipelines, model inference, and hardware interaction. • Exceptional communication skills; able to challenge vague requirements and turn them into actionable plans. • Comfortable working in dynamic environments with high customer exposure. • Experience deploying models on edge devices or consumer hardware. • Familiarity with distributed systems, DevOps tooling, and performance tuning. • Prior experience in a customer-facing engineering role. • Proficiency in developing full stack applications • Knowledge of privacy-preserving AI and secure compute environments. • Master’s degree in a relevant technical discipline. • We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: • core values • Truth - Emphasizing transparency and honesty in every interaction and decision. • Truth - • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. • Ownership - • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. • Tenacity - • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. • Humility -
Responsibilities
• Collaborate closely with customers to scope, deploy, and maintain AI solutions in production environments. • Design, develop, and deploy agentic workflows to orchestrate multi-step reasoning, tool use, and decision-making across production systems. • Debug and optimize data pipelines and AI systems running on customer networks. • Translate complex, often ambiguous customer requirements into well-scoped technical solutions. • Work across the stack—from model inference on consumer hardware to infrastructure automation. • Read hardware schematics/logs to identify performance bottlenecks and suggest improvements. • Serve as a trusted technical advisor to enterprise clients, representing the engineering team externally. • Contribute feedback and insight to internal teams to continuously improve product robustness and usability.
Benefits
• We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired. • Comprehensive health, dental, and vision benefits package • $200/month Health & Wellness stipend • Continuing Education support • $500/year Function Health subscription • Free parking for in-office employees • Flexible Time Off (FTO) • Parental leave for eligible employees • Supplemental life insurance
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