22 hours ago
Palo Alto, CA, USASenior
Base Salary
$159k - $199k/yr
Responsibilities
- Design and build scalable, secure, production-grade services across the Data, Knowledge, Model, and Agentic platform layers.
- Develop multi-agent orchestration, model routing, low-code agent-building, integrations, and enterprise data connectors.
- Contribute to guardrails, observability, RBAC, governance, and predictable AI behavior.
- Lead technical design discussions, write design documents, conduct code reviews, and uphold quality, security, and performance standards.
- Mentor junior and mid-level engineers and partner with product, design, applied AI, and customer-facing teams.
- Participate in on-call rotations, resolve production issues, and design incident response frameworks, escalation procedures, and operational playbooks.
- Create documentation, knowledge bases, tooling, technical standards, service-readiness criteria, and service-ownership practices.
- Maintain multi-tenant, multi-cloud infrastructure and improve engineering practices, tooling, and CI/CD systems.
Requirements
- 5+ years of professional software engineering experience.
- Strong proficiency in one or more of Python, Java, Go, or TypeScript.
- Experience building distributed systems, APIs, and microservices, with strong data structures, algorithms, and system design fundamentals.
- Experience with relational and NoSQL databases, a major cloud platform, Docker, and Kubernetes.
- Experience with CI/CD and automated testing, production incident management, RCA processes, and on-call system design.
- Expert-level AWS and Kubernetes experience, Infrastructure as Code with Terraform, and cloud cost optimization experience.
- Experience with RFC/PRD reviews, API design patterns, service architecture, technical writing, operational procedures, and team enablement.
- Ability to deliver complex projects with minimal supervision and communicate effectively in writing and verbally.
- Bachelor’s degree in computer science or a related field, or equivalent practical experience.
- Preferred qualifications include experience with LLM-powered applications, RAG, tool use, MCP, multi-agent workflows, model serving, fine-tuning, SLM workflows, Snowflake, Databricks, BigQuery, Spark, knowledge graphs, data integration, workflow automation, security and compliance, observability, event-driven architectures, enterprise SaaS, AWS Solutions Architect certification, Kubernetes certifications, organizational transformation, service ownership, and platform engineering.
Benefits
- Annual incentive opportunity based on target achievement and pre-IPO stock options.
- Medical, dental, vision, and 401(k) with a match.
- Generous paid time off, paid holidays, paid birthday leave, and other paid leave policies.
- Preferred location is USA - CA - Palo Alto.
Tech Stack
Apache SparkAWSAzureBashDatabricksDockerGoGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPythonSnowflakeTerraformTypeScript
About Uniphore
Uniphore builds an enterprise Business AI Cloud that powers multimodal, agentic applications across voice, video, and text for customer-facing operations. Its products span speech recognition/analytics, AI agents, orchestration, and workflow automation delivered as B2B software and services to large enterprises in multiple industries. Founded in 2008 and headquartered in Palo Alto, the company is privately held and operates globally.