Senior Platform AI Engineer

abra•Wheaton, IL

About The Position

abra R&D is looking for a Staff AI Engineer to help build a next-generation agentic analytics platform, the first real-time database optimized for AI agents at scale. 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.

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)

Nice To Haves

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

Responsibilities

Design and build MCP APIs and core backend services around KeewanoDB
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

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