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Senior Macro AI Engineer (New York)

Part-time

Balyasny Asset Management

Location: New York, LondonDepartment: TechnologyExperience Level: Experience ProfessionalsContact: Paul KrugJob ID: REQ7950Description Summary The Macro and Fixed Income team is central to BAM’s continued leadership in global markets. As macroeconomic and Fixed Income investing becomes increasingly data-driven, the ability to harness advanced analytics and AI is critical to the team’s success. Our group is at the forefront of this evolution, delivering innovative AI and data solutions that empower portfolio managers, analysts, and researchers to make more informed decisions in rates, FX, credit, and related markets. By developing and deploying state-of-the-art AI systems, we help BAM capitalize on emerging opportunities, manage risk, and maintain a competitive edge in the rapidly changing Macro and Fixed Income landscape. Role Overview We are seeking a highly skilled Senior AI Engineer to join our Macro and Fixed Income team, focused on building AI-driven solutions for investment, research, and risk management. In this role, you will work on projects that directly impact how Macro and Fixed Income professionals leverage data and AI to enhance their workflows. You will design robust AI systems and conduct advanced data analysis, with an emphasis on delivering scalable, high-performance applications tailored to the needs of Macro and Fixed Income investment teams. The ideal candidate will have a proven track record of architecting and deploying production-grade AI solutions, especially those involving large-scale financial data integration and analysis. Experience in macroeconomic and Fixed Income domains is highly valued, including familiarity with market data, economic indicators, and Fixed Income instruments. A strong foundation in computer science is essential, with expertise in databases, distributed systems, and knowledge graph design. The ability to model complex relationships across diverse financial data sources—bridging unstructured and structured data—is critical. Exceptional problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts to both technical and investment audiences are key to success in this role. Key Responsibilities • Design and develop advanced financial data retrieval and analytics systems for Macro and Fixed Income markets • Collaborate with investment professionals and frontend engineers to integrate AI solutions into trading and research workflows • Partner with ML researchers to prototype, develop, and deploy new machine learning products for Macro and Fixed Income use cases • 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 • 8+ years of professional software development experience, with at least 3 years in backend AI solutions • Expert-level proficiency in Python and ML packages • Familiarity with containerization (Docker) and orchestration (Kubernetes) • Experience with cloud platforms (AWS preferred) • Strong understanding of software engineering best practices, CI/CD, and infrastructure as code • Direct experience working with macroeconomic or Fixed Income data, or supporting Macro/Fixed Income investment teams Preferred Qualifications • Experience integrating and scaling LLMs and AI models into production applications • Familiarity with OpenAI APIs, Anthropic Claude, or similar AI services • Experience with vector databases and RAG systems • Experience with Knowledge Graphs and Graph Databases (e.g., Neo4j) • Strong experience with SQL and NoSQL databases • Strong experience with RestAPI and gRPC or JRPC • Knowledge of macroeconomic indicators, Fixed Income instruments (rates, credit, FX), and investment workflows • Familiarity with message queuing systems (Kafka, RabbitMQ) • Understanding of AI agent architectures and multi-agent systems • Experience with monitoring and observability tools (Sentry, Grafana)

Vacancy posted 4 hours ago
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