Associate, Application Engineer

About this role We are looking for an Associate Applied AI Engineer to contribute to the development of multi-agent AI applications within Hyperion, our unified data and analytics platform for Private Markets at BlackRock. This role is ideal for an engineer with 4 years of experience who is eager to work at the intersection of software engineering and applied AI, and who has hands-on exposure to agentic workflows and LLM-powered systems. You will work closely with senior engineers and product partners to take AI solutions from proof-of-concept to production. Key Responsibilities Contribute to the design and implementation of multi-agent workflows using frameworks such as  LangGraph Participate hands-on across the AI application lifecycle, from  POC to MVP to production , including data pipelines and backend integration Implement and maintain  evaluation and testing frameworks  to assess agent behavior, reliability, and decision quality Support the integration of LLMs into core business products, with attention to performance, availability, and latency Collaborate with cross-functional teams (product, platform, data) to deliver scalable AI solutions aligned with business needs Technical Requirements Strong proficiency in  Python  and familiarity with production-grade software engineering practices (CI/CD, unit testing, prompt testing) Hands-on experience building  stateful, multi-step AI systems  using  agentic orchestration frameworks  such as LangGraph Solid understanding of  NLP fundamentals  (tokenization, embeddings, semantic search) and applied data science concepts (data preprocessing, experimentation) Experience working with  graph data structures and libraries  (e.g., NetworkX) to model complex relationships Working knowledge of  RAG architectures  and vector databases Basic understanding of  Transformer architectures  and exposure to fine-tuning or adapting language models Familiarity with AI/ML frameworks such as  PyTorch or TensorFlow , and exposure to  Kubernetes  or containerized deployments is a plus Skills and Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics or other quantitative fields 4 years of work experience building and deploying engineering or AI / ML systems end to end, including 6-12 months of hands-on experience in deploying LLM-based workflows (development, integration or experimentation Strong written and oral communications skills, with ability to explain technical concepts clearly Ability to manage tasks across multiple priorities and deliver high-quality components within larger projects, under guidance from senior engineers Curiosity and motivation to stay current with developments in  generative AI and open-source language models Exposure to  private markets or asset management  is a plus but not required What This Role Offers Opportunity to work on  production-grade, agentic AI systems  in a real-world financial domain Strong mentorship from senior AI and platform engineers Exposure to end-to-end AI system design in a  high-impact enterprise platform Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and ... (truncated, view full listing at source)