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