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The Applied AI team at Balyasny Asset Management is at the forefront of transforming how investment professionals interact with artificial intelligence. We've built BamGPT and a comprehensive suite of AI-powered tools including custom assistants, deep research capabilities, scheduled prompts, and enterprise integrations. We're now evolving our platform to a true collaborative AI workspace where agents function as intelligent team members.
Role Overview
We are seeking an experienced Senior Full-Stack Engineer to join our Applied AI team in building the next generation of AI-powered investment tools. You will work on cutting-edge projects that directly impact how portfolio managers, analysts, and researchers leverage AI in their daily workflows. This role requires expertise in modern web technologies (React, Node.js, Python) and a passion for creating intuitive, high-performance applications that seamlessly integrate complex AI capabilities.
The ideal candidate will have deep experience building scalable web applications, a strong understanding of AI/ML integration patterns, and the ability to translate complex technical capabilities into elegant user experiences. You'll be instrumental in our mission to evolve AI from a chat interface to persistent, collaborative workspaces where AI agents can work alongside human teams.
Key Responsibilities
- Design and develop sophisticated web applications using React, Node.js, and Python that serve as the primary interface for BAM's AI capabilities
- Build intuitive UI/UX for complex AI workflows including deep research, document analysis, quantitative modeling, and multi-agent collaboration
- Architect and implement RESTful APIs and real-time communication systems (WebSockets) to support AI agent interactions
- Collaborate with ML engineers to optimize the integration of LLMs and other AI models into production applications
- Collaborate with ML researchers to prototype, develop and deploy new ML models, systems and modes of interaction
- Participate in the full software development lifecycle from requirements gathering through deployment and support
- Mentor junior engineers and contribute to technical architecture decisions
- Participate in on-call rotations to support critical AI infrastructure
Minimum Qualifications
- 7+ years of professional software development experience with at least 4 years in full-stack development
- Expert-level proficiency in React.js and modern JavaScript/TypeScript ecosystem
- Strong experience with Node.js for building scalable backend services
- Experience with real-time web technologies (WebSockets, Server-Sent Events)
- Familiarity with containerization (Docker) and orchestration (Kubernetes)
- Experience with both SQL and NoSQL databases
- Strong understanding of software engineering best practices, CI/CD, and infrastructure as code
Preferred Qualifications
- Experience integrating LLMs and AI models into production applications
- Proficiency in Python for backend development and AI/ML integration
- Familiarity with OpenAI APIs, Anthropic Claude, or similar AI services
- Experience with vector databases and semantic search systems
- Knowledge of financial markets and investment workflows
- Experience with cloud platforms (AWS preferred)
- Familiarity with message queuing systems (Kafka, RabbitMQ)
- Understanding of AI agent architectures and multi-agent systems
- Experience with Jupyter notebooks and data science workflows
- Experience with monitoring and observability tools (Sentry, Grafana)
