Backend Engineer

Why This Role Matters

Join us at the forefront of the AI revolution. You'll build the backend and DevOps foundation that powers conversational AI agents and voice platforms. What to expect:

→ Master cutting-edge AI infrastructure: LLM pipelines, vector databases, real-time streaming → Build systems that enable AI agents to handle millions of conversations → Learn skills every tech company is scrambling to find—AI DevOps, voice processing, agent orchestration → Get real equity (ESOP) in an AI-first company positioned for explosive growth

Cebu-based, remote-first setup | Team sync-ups when needed

LeadAI in a Nutshell

AI-first startup building voice platforms and agentic assistants that actually work. Our AI agents handle real customer conversations, process voice in real-time, and integrate with business systems. Small team, massive ambition, shipping daily.

Looking for a Backend Engineer who sees the AI wave coming and wants to ride it. You'll build APIs for AI agents, deploy LLM pipelines, and create the DevOps foundation for AI-powered products.

Your Mission in the AI Stack

◆ AI-ready APIs: Build services that handle AI agent requests, streaming responses, voice processing, and LLM orchestration

◆ Vector database ops: Work with PostgreSQL + pgvector for AI memory, embeddings, and semantic search—the foundation of modern AI

◆ Real-time AI pipelines: Implement WebSockets for live AI conversations, manage async AI workflows, handle voice streams

◆ LLM infrastructure: Deploy and monitor AI models, manage prompts as code, implement OpenTelemetry for AI observability

◆ Scale AI systems: Optimize for token throughput, implement smart caching for AI responses, manage compute resources

◆ AI-first CI/CD: Test AI behaviors, monitor model performance, implement rollback strategies for AI features

You're Perfect For This If...

Strong Node/TypeScript backend experience )

Real wins in CI/CD (GitHub Actions), including cache/parallel optimization

IaC experience with Pulumi/CDK or Terraform Docker fluency; deploys on AWS ECS/Fargate or Kubernetes

OpenTelemetry + dashboards (Grafana/Datadog/New Relic) you can show

Comfortable with PostgreSQL, SQL tuning, and Redis

Excited about AI/LLMs and want to build the infrastructure powering them

PREFERRED: Full-stack understanding ) to collaborate better

BONUS: Experience with vector databases, streaming systems, or AI/ML pipelines

ENGINEERING FOUNDATION:

• TypeScript everywhere , , CLIs), Turborepo/Nx monorepo

• GitHub Actions, Docker, ECS/Fargate (or K8s), Pulumi/CDK

• Redis for caching AI responses

• Playwright for testing AI behaviors

Why These Skills Matter Now

‣ AI infrastructure is the hottest skillset in tech right now

‣ Every company needs engineers who can deploy and scale AI

‣ You'll gain rare expertise in production AI systems

‣ Build a portfolio of AI projects while the field is still emerging

Growth & Compensation

-- ₱50,000 – ₱100,000/month based on experience

-- We're mapping early team members to DOUBLE their salary in under 12 months

-- Fast-moving startup = rapid advancement for those who deliver

-- ESOP/stock options - own part of an AI-first company

-- Learning budget for AI courses, tools, certifications

Benefits & Perks

• High-spec equipment (your choice of setup)
• Flexible hours (core hours 10am-4pm PHT)
• Performance bonuses for shipping AI features
• Extra PTO for on-call duties
• Remote-first with optional office access
• Quarterly team events in Cebu

How to Apply

Send to

1. Your CV + GitHub profile
2. A GitHub Actions workflow you've built (or gist)
3. Dashboard screenshot showing metrics you instrumented
4. Brief note on why you're excited about AI infrastructure
5. (Bonus) Any experience with LLMs, streaming, or real-time systems

Subject line: Backend Engineer - AI Infrastructure/DevOps - [Your Name]