About the Role
As a Senior Solutions Engineer within the AI Search Infrastructure Group, your role will be pivotal in driving technical success for enterprise API customers, particularly within AI native organizations. You will act as the primary engineering partner for customers, bridging the gap between their unique requirements and our cutting-edge AI infrastructure solutions. This is a highly impactful position that combines hands-on software engineering, customer collaboration, and product improvement to deliver world-class API systems at scale
Responsibilities
- Lead technical engagements with enterprise API customers, typically AI native enterprises; act as the primary engineering counterpart.
- Translate customer requirements into product and infrastructure improvements; contribute code directly to core API services and custom point solutions.
- Work on systems that scale to thousands of queries per second, where each millisecond of latency matters
- Partner with product and research teams to ship improvements driven by real production usage.
- Implement and integrate our APIs into customer production systems.
- Design and run joint API evaluation frameworks with customers; analyze results and drive measurable improvements during and after the evaluation process.
- Diagnose integration, retrieval, ranking, and evaluation issues in customer environments and resolve them hands-on.
- Support technical aspects of enterprise sales cycles: architecture reviews, POCs, benchmarks, and performance validation..
Qualifications
- Strong software engineering fundamentals; able to ship production-quality code.
- 3-5+ years experience building production-grade APIs in Python
- 3-5+ years experience shipping production applications with AWS
- Deep understanding of modern AI systems: LLMs, RAG, retrieval, evaluation, embeddings, ranking, and inference tradeoffs.
- Experience building or integrating AI/search APIs into real production systems.
- Ability to design and interpret evaluation metrics, benchmarks, and experiments.
- Comfortable debugging distributed systems, API performance, and data/retrieval pipelines.
- Strong customer-facing engineering communication; can explain complex systems clearly to technical teams.
- Bias toward action, shipping, growth and customer impact.
- Able to quickly iterate between customer feedback and code-level improvements.
- Extremely strong drive to compete and win.
Preferred Background
- CS degree or equivalent hands on experience.
- Experience as a solutions engineer, forward-deployed engineer, or applied AI engineer at an AI-native or infrastructure company.
- Experience with search, retrieval systems, or large-scale API platforms.
- Experience working with enterprise customers or developer platforms.
