As part of the MANA team, we are building an innovative AI-driven platform, MANA Studio, to simplify and optimize how businesses operate in an increasingly complex digital world.
Responsibilities
- Build and scale a cutting edge Agentic and AI driven platform to handle 10× growth while maintaining sub-second performance.
- Develop cutting edge agentic RAG pipelines.
- Maintain clean, layered architecture (Controller → Use-Case → Repository) with strict linting and code quality checks.
- Drive automated testing (unit, integration, E2E) with Vitest, ensuring high coverage for key features in our CircleCI → AWS ECS pipeline.
- Implement structured logging, metrics, and alerts using Pino and Datadog to keep production reliable.
- Collaborate with product, design and fellow engineers to turn ideas into robust services.
Requirements
- 5+ years of backend engineering experience.
- 3+ years of experience with Node.js and TypeScript, with a preference for DI-first frameworks such as NestJS or similar.
- Strong SQL expertise with hands-on PostgreSQL experience in production environments.
- Familiarity with Docker and at least one major cloud provider (AWS, Azure, or GCP).
- Curiosity about generative AI, whether you’ve built RAG/Agentic workflows or are eager to dive in.
Nice to haves
While not specifically required, tell us if you have any of the following.
- Prior work optimizing LLM and RAG based applications (e.g., token cost, latency, and context management).
- Experience with Redis streams, Kafka, or other event-driven systems.
- Familiarity with Infrastructure-as-Code tools like Terraform.
- Open-source contributions to frameworks, dev tools, or AI libraries.
- Experience with functional programming.
- Japanese is a plus but not required.
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