abra R&D is looking for a Backend Platform AI Engineer!
abra R&D is looking for a Backend Platform Engineer to help build the next‑generation Database built from scratch for AI Agents.
This role focuses on building the developer-facing platform around the core database engine- enabling seamless integration with AI agent frameworks (LangChain, PydanticAI, and others), as well as external systems via connectors, plugins, and SDKs.
What You’ll Do
- Design and build MCP APIs and core backend services
- Develop and maintain SDKs (Python, TypeScript, Go, Rust)
- Build connectors and plugins for AI agent platforms (LangChain, PydanticAI, others)
- Design clean, scalable, and ergonomic developer-facing APIs
- Own integration infrastructure (auth, streaming, event pipelines, webhooks)
- Build and optimize real-time data flows between agents, services, and the database
- Collaborate closely with database engineers to expose powerful capabilities through well-designed APIs
- Ensure reliability, observability, and performance of all external-facing systems
Requirements
- 5+ years of experience in backend or platform engineering
- Strong proficiency in at least one of: Python, TypeScript, Go, or Rust
- Experience designing and building production-grade APIs and SDKs
- Strong understanding of distributed systems and service architecture
- Experience with event-driven systems, streaming, or real-time architectures
- Solid understanding of API design best practices (REST/gRPC, versioning, developer experience)
Strong Plus
- Experience building developer platforms or public SDKs
- Familiarity with AI/LLM ecosystems (LangChain, agents, tool calling)
- Experience with plugin architectures or extensibility frameworks
- Background in data platforms, databases, or infrastructure tooling
- Experience with async systems, concurrency, and high-throughput services
