Software Engineer
Backend Software Engineer at an AI platform serving investment professionals (private equity, investment banking, credit): build server-side architecture, agentic AI orchestration, REST APIs, and data stores. Core stack: Python, MongoDB, Redis, and event-driven systems like RabbitMQ/Kafka. Hybrid role in New York, 3 days/week in office.
- Compensation
- Not disclosed
- Location
- New York, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Advanced Python proficiency with production-grade code quality
- RESTful API development experience (designing, building, maintaining APIs)
- MongoDB and Redis expertise with document and in-memory data stores
- Distributed systems and multi-threading knowledge with event-driven architectures (RabbitMQ, Kafka, Pub/Sub)
- Interest in LLMs and generative AI, including how language models are integrated into applications
- Problem-solving ability and collaborative mindset in a fast-paced environment
Full description
Software Engineer|| Python, AI & Event Driven Architectures | New York
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
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 orchestration
- Database design & optimization: Create and maintain efficient database schemas (MongoDB, Redis) with a focus on data integrity and security
- API 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 quality
- RESTful API development experience designing, building, and maintaining APIs
- MongoDB and Redis expertise — comfortable working xhmxlyz with both document and in-memory data stores
- Distributed 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 applications
- Problem-solving ability and collaborative mindset in a fast-paced environment
Location: New York, NY (Hybrid — 3 days/week in office)