AI Platform Engineer

SynthBridge AI builds workflow automation tools for SaaS and operations teams. We help companies connect their internal data, documents, and business processes with practical AI assistants that save time without creating extra operational risk.

We are looking for an AI Platform Engineer to help us build the backend services, integrations, and infrastructure behind our AI-powered products. This is a hands-on engineering role for someone who enjoys APIs, queues, data flows, prompt/version management, and production reliability.

Responsibilities:
- Build backend services for AI-powered workflow automation.
- Integrate LLM APIs, internal tools, document pipelines, and customer data sources.
- Design APIs, database models, queues, and background jobs.
- Improve observability around AI requests, costs, failures, and output quality.
- Work with product and design to turn prototypes into stable product features.
- Maintain secure handling of customer data and application secrets.
- Help define evaluation, fallback, and retry strategies for AI workflows.

Requirements:
- Strong backend engineering experience with Python, PHP/Laravel, Node.js, or similar.
- Experience building APIs, background workers, and database-backed applications.
- Familiarity with LLM APIs, embeddings, RAG, prompt engineering, or AI automation flows.
- Comfortable with PostgreSQL or MySQL, Redis, Docker, and cloud infrastructure.
- Good understanding of monitoring, logging, error handling, and production debugging.
- Ability to communicate tradeoffs clearly and work in a remote team.

Nice to have:
- Experience with OpenAI APIs or similar model providers.
- Experience with document parsing, search, vector databases, or data pipelines.
- Familiarity with Laravel, AWS, Terraform, or Kubernetes.
- Previous work on SaaS, internal tools, or automation platforms.