AI Automation Engineer & Architect - Remote Full Time

Bold Business; Manila; On-site; PHP 1,500,000 - 2,000,000; Full time

Job summary

Bold Business is looking for an AI Automation Architect (LLM & Cloud) to design and deploy AI systems for real customers. The successful candidate will create production-grade RAG pipelines, integrate AI workflows with core business functions, and lead backend architecture initiatives in a collaborative environment. Candidates should have extensive experience in software engineering and be proficient with Python, TypeScript, and AI frameworks. Bold Business offers a dynamic role in an international BPO with significant growth opportunities.

Qualifications

• 8+ years in software engineering required.
• 3+ years deploying AI/ML systems into production.

Responsibilities

• Design production-grade RAG pipelines using Vertex AI, Gemini, or OpenAI.
• Build scalable backend services using Python and TypeScript/Node.js.
• Implement observability, logging, and model monitoring.

Skills

Python

TypeScript / Node.js

LLM providers (Gemini preferred)

RAG frameworks

Vector databases

PostgreSQL

AWS

GCP

Terraform

GitHub Actions CI/CD

Job description

• Event-driven backend engineering
• Intelligent workflow automation

About The Role

We’re hiring an AI Automation Architect (LLM & Cloud) to architect and build the core intelligence layer behind Bold Amplify™. You will design and ship real AI systems used by real customers — not prototypes, not experiments.

This Role Sits At The Intersection Of

• LLM systems (RAG, agents, orchestration)
• Cloud-native multi-tenant SaaS architecture
• Event-driven backend engineering
• Intelligent workflow automation
• Production reliability & observability

If you’ve built production RAG pipelines, deployed LLM-backed services, and care about clean architecture and measurable impact — this role is for you.

What You’ll Own

AI Systems & RAG Architecture

• Design and deploy production-grade RAG pipelines using Vertex AI, Gemini, OpenAI, or Anthropic
• Build embedding and ingestion pipelines for structured and unstructured business data
• Implement vector search using Pinecone, Weaviate, ChromaDB, or pgvector
• Architect context management strategies balancing latency, cost, and reliability

Agentic Workflows & Orchestration

• Design multi-step agentic workflows using LangChain, LangGraph, or LlamaIndex
• Build state machines that reason, retain context, and execute business actions
• Integrate AI agents with systems like Greenhouse, HubSpot, QuickBooks, and internal services
• Implement guardrails, evaluation pipelines, and hallucination mitigation strategies

Backend & Cloud Architecture

• Build scalable backend services using Python (FastAPI preferred) and TypeScript/Node.js
• Design event-driven systems (SQS/SNS, Pub/Sub, retries, DLQs, idempotency patterns)
• Architect secure, multi-tenant SaaS infrastructure across AWS and GCP
• Manage infrastructure as code using Terraform
• Own CI/CD pipelines with GitHub Actions
• Implement observability, logging, and model monitoring

Business Translation

• Partner with product and leadership to turn operational problems into AI-driven workflows
• Define measurable success criteria for automation systems
• Communicate tradeoffs clearly (cost, token usage, reliability, latency)

Who We’re Looking For

• Have 8+ years in software engineering
• Have 3+ years deploying AI/ML systems into productionli>

Required Technical Experience

• Python (AI orchestration, data pipelines, backend services)
• TypeScript / Node.js (API services and integrations)
• LLM providers (Gemini preferred, OpenAI/Anthropic acceptable)
• RAG frameworks and retrieval optimization
• Vector databases (Pinecone, Weaviate, ChromaDB, pgvector)
• PostgreSQL (multi-tenant schemas, migrations)
• AWS (IAM, VPC, ECS/EKS, Lambda, SQS/SNS, RDS, Secrets)
• GCP (Vertex AI, Cloud Run, Pub/Sub)
• Terraform
• GitHub Actions CI/CD
• Event-driven architecture patterns

Bonus

• Experience embedding AI into SaaS products
• LLM evaluation & monitoring pipelines
• Guardrails and reliability strategies
• Cost optimization for token-heavy workloads
• Experience integrating third-party SaaS tools via OAuth & webhooks
• Frontend familiarity (React/Next.js) for AI UX integration

What Success Looks Like

• Ship at least one production-grade RAG workflow
• Deploy a multi-step agentic workflow tied to a real business function
• Establish monitoring for latency, cost, and reliability
• Contribute to scalable AI architecture standards across the platform

About Bold Business

Bold Business is a US-based global business process outsourcing (BPO) firm with over 25 years of experience and $7B+ in client engagements. We help fast-growing companies scale through smart talent strategies, automation, and technology-driven solutions.