Principal Engineer - AI Products & Platform, Remote
Team: Engineering
Location: Remote, United States
Commitment: Full Time
Workplace Type: remote
Primary Duties:
- Architect complex systems and make critical technical decisions.
- Solve challenging technical problems with innovative solutions.
- Mentor engineers and promote engineering excellence across teams.
- Align technical strategies with business goals through cross-functional collaboration.
- Contribute to technical roadmaps and strategic planning.
- Evaluate new technologies and lead innovation initiatives.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field required]
- 10+ years of production-level experience as an engineer building highly scalable systems
- 6+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
- 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
- Experience architecting, developing, and deploying large-scale distributed systems at scale
- Experience with cloud technologies, e.g., AWS, Azure, GCP
- Experience building continuous integration and continuous development (CI/CD) pipelines
- Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
Preferred Knowledge, Skills, and/or Abilities:
- 10+ years of engineering experience architecting and scaling reliable backend or platform systems for millions of users.
- Proven track record in V0, V1, and V2 architecture and delivery - guiding large teams (50+ engineers) across multiple product areas.
- Strong background in architecting or implementing AI-driven features - with the ability to translate AI capabilities into scalable, user-facing products
- Experience designing platform and API ecosystems that serve broad horizontal product spaces
- Deep hands-on expertise with cloud infrastructure (AWS preferred), event streaming (Kafka), and large-scale database systems
- Expertise in containerization/orchestration technologies (Docker, Kubernetes) and modern CI/CD pipelines
- Experience engineering systems for scalability, high availability, and security — with a focus on sensitive or regulated data
- Familiarity with database replication, sharding, and other techniques critical to distributed systems performance and resiliency
- Ability to lead and mentor senior engineering talent, shaping architecture decisions and technical direction across multiple teams
- Demonstrated success evaluating and adopting emerging technologies to drive company-wide technical strategies
Physical Requirements:
-
Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.
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