Sr AI Engineer
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled Senior AI Engineer to design and implement advanced agentic AI systems. In this role, you'll build production-ready AI agents that can reason across multiple steps You'll work with state of the art frameworks to create pipelines that combine LLM-based reasoning, knowledge grounding, and multi-agent orchestration. This is a high-impact role where you'll partner with product and engineering teams to design workflows into reliable, scalable agentic solutions for real-world use cases.
What will you accomplish:
- Build Agentic Systems - Implement multi-step reasoning agents. Retrieval-Augmented Generation (RAG), and integrations to tools, databases, and APIs.
- Orchestrate & Optimize - Design supervisor/sub-agent patterns, enable coordination across agents, and apply best practices for robustness, performance, and scalability.
- Deploy & Evolve - Deliver production-grade agentic AI workflows on cloud platforms, monitor and evaluate agent performance, and continuously fine-tune for quality and efficiency.
- Develop scalable services that connect with multiple eBay systems, establishing standards for reliability, and operational excellence.
Requirements
- Hands-on experience with multi-agent orchestration and supervisor patterns.
- Knowledge of RAG pipelines, memory management, and evaluation of agent performance.
- Experience designing custom evaluation metrics for reasoning steps, tool use correctness, and RAG pipeline performance.
- Ability to balance automatic evaluation with human-in-the-loop evaluation for complex workflows.
- Proficiency in Python and familiarity with backend cloud services.
- Proficiency in developing backend services using Java (Spring / Spring Boot).
- Experience with agentic architecture, including agent frameworks, tool-calling protocols and planning/execution patterns.
- Knowledge of reinforcement learning, planning algorithms, or autonomous reasoning., * 6+ years of hands-on experience in developing RESTful APIs, microservices, and Kubernetes operators, with an emphasis on testability, scalability, and maintainability.
- Proven experience leading and contributing hands-on to AI/ML engineering and operations in large-scale production environments.
- Deep understanding of AI model lifecycle management, distributed systems, and integration of applications powered by artificial intelligence into customer-facing platforms.
- Develop and maintain highly scalable, efficient, performant & resilient capabilities, meeting availability targets of 99.99%.
Benefits & conditions
Pulled from the full job description
- Parental leave
- Paid time off
- RSU, $196,800 - $262,700
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.