1 month ago
Palo Alto, CA, USASenior
Base Salary
$140k - $193k/yr
Responsibilities
- Lead technical solution design and implementation for large-scale Agentic AI and Knowledge AI solutions for enterprise clients.
- Serve as the primary technical point of contact during solution development and post-deployment optimization.
- Own projects end-to-end, including integration design, agent workflows, and full-stack delivery.
- Customize platform components by integrating APIs, building reusable tooling, and extending platform logic.
- Collaborate with customers and internal cross-functional teams to ensure successful solutions.
- Provide feedback to Platform Engineering and Product regarding feature gaps and customer pain points.
- Develop reusable assets, frameworks, documentation, and technical best practices to accelerate delivery.
- Implement observability, monitoring, versioning, and telemetry for trustworthy and auditable AI agents.
Requirements
- A bachelor's degree or higher in Computer Science or Data Science is required.
- 6–10+ years of engineering experience, including 2+ years in customer-facing or field roles.
- Proven experience building and deploying AI/ML or data-intensive applications in production.
- Deep full-stack development skills with Python, Node.js or Go, and React or Vue.
- DevOps experience with Docker and Kubernetes.
- Experience building data pipelines and integrating enterprise systems using technologies such as SQL, GraphQL, and Webhooks.
- Strong understanding of LLMs, prompt engineering and tuning, vector databases, RAG pipelines, and agent or workflow orchestration.
- Knowledge of SLM fine-tuning and distillation is an advantage.
- Experience with Agentic development platforms and enterprise agentic solution delivery is a strong advantage.
- Ability to translate ambiguous customer needs into actionable engineering plans.
- Strong leadership, mentoring, project ownership, communication, and collaboration skills.
Benefits
- Annual incentive opportunity based on target achievement.
- Pre-IPO stock options.
- Medical, dental, vision, and 401(k) with company match.
- Generous paid time off, paid holidays, paid birthday leave, and other paid leave policies.
- Primary location is Palo Alto, California.
