Summary
✨ AI‑Generated
A fast-growing AI-focused organization is seeking a Backend Software Engineer to build robust server-side systems for sophisticated institutional workflows. You will design backend architecture, develop data-processing and integration services, optimize databases, and collaborate closely with product, engineering, and client-facing teams. The role offers the opportunity to work on scalable systems and advanced AI orchestration.
Highlights
High compensation, an opportunity to build scalable backend architecture, direct collaboration with product and engineering stakeholders, and exposure to advanced AI-driven workflows in an institutional finance environment.
Description
Software Engineer| $180- $250,000| Python & Event Driven Architectures | New York
Albert Bow have partnered with an AI platform, that are transforming how investment professionals work! Their clients span private equity, investment banking, private credit, and alternative asset management.
They've built an "intelligent deal workspace" that helps dealmakers accelerate sourcing, due diligence, portfolio monitoring, and investor relations through agentic AI.
The Role
As a Backend Software Engineer, you'll be responsible for building the server-side architecture that powers their platform.
You'll work directly with their Client Success, Product, and Engineering teams to develop robust, scalable solutions that handle the demanding workflows of institutional investors.
Key Responsibilities
Server-side architecture: Design and implement backend logic for data processing, integration workflows, and agentic AI orchestrationDatabase design & optimization: Create and maintain efficient database schemas (MongoDB, Redis) with a focus on data integrity and securityAPI development: Build and maintain RESTful APIs that enable seamless communication between frontend, backend, and third-party integrations (Datasite, Grata, etc.)What You Bring
Advanced Python proficiency with production-grade code qualityRESTful API development experience designing, building, and maintaining APIsMongoDB and Redis expertise — comfortable working with both document and in-memory data storesDistributed systems & multi-threading knowledge — strong experience with event driven architectures, Rabbit MQ, Kafka, Pub Sub.Interest in LLMs and generative AI — familiarity with how language models are integrated into applicationsProblem-solving ability and collaborative mindset in a fast-paced environment
Location: New York, NY (Hybrid — 3 days/week in office)
Up to $250,000 + bonus structure
