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Senior Platform AI Engineer at abra

Wheaton, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jul, 26

Salary

0.0

Posted On

15 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, Go, Rust, API Design, SDK Development, Distributed Systems, Event-driven Systems, Streaming Architectures, REST, gRPC, AI Agent Frameworks, LangChain, PydanticAI, Database Engineering, Infrastructure Tooling

Industry

Internet Marketplace Platforms

Description

abra R&D is looking for a Staff AI Engineer! 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. What You’ll Do 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 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

Responsibilities

Design and build developer-facing APIs, SDKs, and core backend services for an agentic analytics platform. Collaborate with database engineers to optimize real-time data flows and ensure the reliability and performance of external-facing systems.