Bold Business is looking for a Senior AI Engineer & Solutions Architect to design and build our cloud-native, multi-tenant AI platform, Bold Amplify™. You will embed intelligence directly into business workflows, creating a ‘Second Brain’ that turns unstructured data into actionable intelligence. This is a hands-on architecture role focused on building real systems used in production at scale.
What You'll Do
- Design and implement a production-ready RAG architecture using Vertex AI and vector databases like Pinecone, Weaviate, or ChromaDB.
- Enable AI models like Gemini to safely and reliably use business data from systems such as Greenhouse, HubSpot, and QuickBooks.
- Build AI-driven workflows and agent-based systems that can reason, remember context, and complete multi-step tasks.
- Own the architecture of a multi-tenant, cloud-native platform, including data isolation, permissions, schema design, migrations, auditability, and compliance.
- Use Terraform to provision secure, scalable infrastructure across GCP and AWS.
- Build backend services using TypeScript/Node.js, including APIs, event handlers, and third-party integrations.
- Design event-driven systems using queues, retries, and DLQs to ensure reliability and observability.
- Lead code reviews, enforce PR standards, and maintain repo hygiene using GitHub.
- Build and maintain CI/CD pipelines with GitHub Actions (tests, linting, builds, deployments).
- Implement secure SDLC practices (secrets, environments, branch protection, required checks).
- Drive release discipline (versioning, tagging, changelogs).
- Work closely with product, leadership, and clients to translate operational problems into scalable AI solutions.
What We're Looking For
- 8+ years of professional software engineering experience.
- 3–5+ years working on cloud-native platforms, ERP systems, or multi-tenant SaaS.
- Comfortable working with distributed teams and global stakeholders.
- Strong Python skills for AI logic, orchestration, and data workflows.
- Strong TypeScript/Node.js skills for APIs, integrations, and backend services.
- Expert-level SQL/PostgreSQL, including multi-tenant data modeling and migrations.
- Hands-on experience with event-driven architectures (queues, pub/sub, retries, idempotency, DLQs).
- Experience integrating external systems using REST/GraphQL APIs, OAuth, and webhooks.
- Practical experience deploying LLMs in production, especially Gemini.
- Understanding of token costs, latency, context windows, and tradeoffs between chains, tools, and agents.
- Experience with RAG frameworks (LangChain, LangGraph, LlamaIndex).
- Expert-level AWS experience building and operating production systems (e.g., IAM, VPC, Lambda, ECS/EKS, SQS/SNS, EventBridge, RDS, CloudWatch, KMS, Secrets Manager).
- Strong experience with GCP, especially Vertex AI and serverless patterns.
- Experience with vector databases and unstructured data ingestion pipelines.
- Expert-level GitHub proficiency, including PR workflows, repo management, and GitHub Actions CI/CD.
- Builder mindset: focused on production systems, not experiments.
- Strong analytical and troubleshooting skills.
- Clear communicator who can explain technical ideas to non-technical stakeholders.
- Collaborative and comfortable taking ownership of complex systems.
Nice to Have
- Next.js / React familiarity.
- Lean, Agile, or TPS exposure.
- Client-facing consulting or solution architecture experience.
- Experience with ERP, BPO, or multi-tenant SaaS platforms.
Technical Stack
- AI: Gemini (preferred), OpenAI or Anthropic
- Cloud: AWS (expert required), GCP (Vertex AI, serverless)
- Languages: TypeScript, Node.js, Python
- Data: PostgreSQL, Vector databases (Pinecone, Weaviate, ChromaDB)
- Integrations: REST/GraphQL, OAuth, webhooks
- Tools: GitHub (expert required), GitHub Actions CI/CD
Work Mode
This is a fully remote position.
Bold Business is an equal opportunity employer.
