Role overview
- Lead moderately complex Generative AI initiatives and deliverables within technical domain environments
- Contribute to large scale planning of strategies
- Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
- Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
- Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
- Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
What we're looking for
- Hands-on experience instrumenting applications/agents using SDK hooks and span models; ensuring end-to-end trace propagation for prompts, context documents, tools, and agent workflows
- Experience configuring Arize spaces/projects, dashboards/monitors, and evaluation pipelines (LLM-as-Judge and/or code-based scoring); exports for offline analysis
- Experience building and operating event/data flows across services, storage, and metadata stores (e.g., spans Arize DB/HPOS Postgres metadata) with strong ingestion/query reliability
- Experience designing registry metadata models (YAML schemas, UIDs, versioning, dependency graphs) and building governance views/UIs
- Experience implementing behavior guardrails and runtime intervention patterns using Redis/Kafka signals and signal handlers (e.g., kill/clean/HITL)
- Proficiency in Python, REST and/or gRPC; event-driven design
Experience operating services on Kubernetes with GitOps/CI/CD, OpenTelemetry, Postgres, Kafka/Redis, and object storage (HPOS)
- Experience with identity/entitlements (OAuth scopes, RBAC/ABAC), and sensitive data handling (masking/redaction) for UI/exports
- Strong operational rigor: runbooks, incident response, performance regression gating, and clear written communication
- Hands on experience of developing UI (html,javascript)
Tags & focus areas
Used for matching and alerts on DevFound Ai Generative Ai