Backend AI Engineer

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

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