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