Lead Engineer - AI Studio

Ovii's Interpretation of the Role

Lead Engineer for HighLevel's AI Studio, steering the backend architecture that powers a generative React app builder. The role blends high‑scale distributed systems work with LLM pipelines, while mentoring engineers and partnering across product, infra, and design.

Role Snapshot

• Technical direction for AI‑driven app‑builder platform
• Design and scale distributed backend services
• Build and optimize LLM and embeddings pipelines
• Own observability, reliability, and SLOs
• Mentor engineers and raise code quality
• Collaborate cross‑functionally on roadmap

Must-Have Requirements

• Go (Golang)
• Node / NestJS
• Cloudflare Workers or comparable edge compute
• Distributed system design
• High‑scale backend development
• PostgreSQL
• NoSQL data models
• LLM integration
• Vector search / embeddings / RAG
• Observability (Prometheus, Grafana, OpenTelemetry)
• AI safety & guardrails
• backend engineering
• distributed systems
• high‑scale platform development

Nice-to-Have Signals

• Vue frontend familiarity
• UI/UX principles
• frontend Vue experience
• AI safety implementation

Work Setup

• Location: India, India
• Work mode: REMOTE
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Define and own the architecture of core AI Studio components such as the app generation engine and publishing pipeline
• Design fault‑tolerant, high‑throughput LLM pipelines for content, layout, and code generation
• Implement distributed, event‑driven systems that meet low‑latency and scalability targets
• Build and tune embeddings, vector search, and retrieval‑augmented generation workflows
• Establish observability, SLOs, and resiliency strategies using Prometheus, Grafana, and OpenTelemetry
• Create AI guardrails and verification layers to reduce hallucinations and ensure model safety
• Mentor engineers through code reviews, design sessions, and pairing
• Partner with product, design, and infrastructure teams to deliver high‑performance generative features

Good Fit If You Have

• Strong communication and cross‑functional leadership
• Pragmatic decision‑making balancing vision and iteration
• Experience with AI safety and prompt engineering