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abra R&D is looking for a Backend Platform AI Engineer! ab ra 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

abra R&D is looking for a Senior Embedded Engineer! abra R&D is looking for an Embedded Engineer to help build the first real-time database purpose-built for AI agents at scale. Designed around time-series and unstructured data, it leverages a custom storage format optimized for append-heavy, real-time workloads. Joining the team means working on a high-performance execution engine built with vectorized execution, SIMD, and cache-efficient memory layouts, enabling extreme low-latency and high-throughput performance at scale. The system is engineered to fully utilize modern hardware, with deep optimization across CPU cache layers (L1 / L2 / L3), pushing the limits of real-time data processing. What You’ll Do
* Design and implement core components of the database engine (query engine, execution engine, storage engine)
* Build vectorized execution pipelines optimized for SIMD
* Design and evolve a time-series optimized storage engine (custom on-disk + in-memory formats)
* Work on unstructured / event-driven data representations and efficient indexing/querying strategies
* Own memory layout, compression, and data defragmentation
* Develop cache-aware / cache-efficient data structures with deep understanding of CPU cache behavior
* Implement distributed data primitives: sharding, partitioning, replication, and data locality
* Profile and optimize performance at the CPU level (cache misses, branch prediction, memory bandwidth)

abra R&D is looking for a Senior DevOps Engineer! abra R&D is looking for a DevOps Engineer who will take part in building a next-generation data and agent platform designed for real-time, AI-driven systems at scale. We are looking for a Staff Infrastructure / DevOps Engineer to own and build the production infrastructure layer across our entire platform. This role goes beyond traditional DevOps- you will design and implement infrastructure systems in code, including core services such as authentication, encryption, and internal platform tooling Our stack is primarily GCP , with plans for multi-cloud (AWS, Azure) deployment. What you’ll do:
* Design and build cloud infrastructure for DB and the AI platform (primarily GCP, expanding to AWS/Azure)
* Develop infrastructure services in code (authentication, encryption, internal platform services) using Python, Go, or TypeScript
* Own and evolve CI/CD pipelines (GitHub Actions, build systems, release pipelines)
* Implement and manage infrastructure as code (Terraform or similar)
* Design and operate Kubernetes (K8s) environments for high-scale, distributed systems
* Build and maintain observability systems (monitoring, logging, tracing, alerting)
* Ensure security best practices across infrastructure (secrets management, IAM, encryption)
* Optimize system reliability, scalability, and performance across environments
* Work closely with backend, database, and AI teams to support production workloads