Job description
Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction.
Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies.
Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.
Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.
The Role:
We are hiring a Principal UI Architect with strong full-stack expertise, deep system design skills, and cross-functional technical leadership to drive the next generation of AI-powered enterprise applications.
In this role, you will own the architecture of large-scale user-facing systems and backend services that integrate with our Agentic AI Platform, orchestrate LLM-based workflows (GenAI, RAG, A2A, MCP), and deliver intuitive, reliable, and performant experiences to end users.
This position requires a hands-on architect who can break down complex problems, drive initiatives across teams, and balance innovation with pragmatic engineering discipline.
This role is based out of our Santa Clara, CA office, and an Onsite interview is required as part of the process (with some flexibility to WFH).
Key Responsibilities:
Lead end-to-end architecture of scalable cloud-native applications:
- Frontend (React, ShadCN, TypeScript)
- Backend (Ts/Node.js, Python/FastAPI)
- Data (PostgreSQL, Redis, ClickHouse)
- Streaming and EDA (Kafka, Event-Driven Architecture)
Partner with product, design, and engineering leaders to deliver intuitive, secure, and AI-integrated experiences.
Collaborate closely with the Agentic AI Platform team to define integration strategies for LLMs, GenAI services, RAG pipelines, A2A workflows, and more.
Drive adoption of AI developer tools like Cursor, Claude Code, and GitHub Copilot across engineering teams.
Establish and enforce best practices in:
- System design, performance optimization, and reliability
- Code quality (SOLID, clean code, SonarQube)
- Security and observability (Sentry, Prometheus, Grafana)
Lead cross-team technical initiatives from idea to execution, including proofs of concept, refactoring, modernization, and new service development.
Mentor engineers, provide architectural guidance, and elevate engineering excellence across the org.
Own documentation, design reviews, and technical vision across frontend and backend architecture.
Qualifications:
- 10+ years of experience in software engineering and architecture, including hands-on full-stack development.
- Proven expertise in designing and delivering large-scale, cloud-native applications.
- Strong experience in:
- React.js, ShadCN, JavaScript/TypeScript
- Node.js, Python/FastAPI
- PostgreSQL, Redis, ClickHouse, Kafka
- Kubernetes, Docker, CI/CD pipelines, GitOps (ArgoCD)
- Solid understanding of SQL and NoSQL data modeling.
- Strong practices in code quality, performance optimization, security, and system monitoring.
- Deep knowledge of event-driven architecture and real-time system design.
- Skilled with SonarQube, SOLID principles, clean code, and scalable microservice patterns.
- Familiarity with AI dev tools: Cursor, Claude Code, GitHub Copilot.
- Experienced in Agile/Scrum methodologies and modern version control systems (GitHub/GitLab).
- Excellent communication, problem-solving, and collaboration skills.
- Demonstrated ability to lead cross-functional initiatives and drive outcomes across engineering teams.
- Strong self-motivation, curiosity, and continuous learning mindset.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Preferred Qualifications:
- Experience in LLM/GenAI systems, including RAG, agent orchestration (A2A/MCP), and API integrations with AI platforms.
- Familiarity with Generative UI
- Prior experience in building AI-enabled SaaS products.
- Familiarity with LangChain and Google’s Agent Development Kit (ADK)
- Familiarity with:
- Vector DBs, LLM prompt templating, and knowledge store integration
- Building developer platforms or internal tools
- Contributions to open-source projects, engineering blogs, or architecture frameworks.
- Experience in people management and program management
Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.
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At Aisera, we strive to design equitable and explainable compensation programs. Base pay within the range is ultimately determined by a candidate’s skills, expertise, or experience.
Bay Area, CA
$175,000—$220,000 USD
