Associate, DataX

We are looking for anAssociate Applied AI Engineerto contribute to the development ofmulti-agent AI applicationswithin Hyperion our unified data and analytics platform for Private Markets at BlackRock.

This role is ideal for an engineer with4 years of experiencewho is eager to work at the intersection ofsoftware engineering and applied AI and who has hands-on exposure toagentic workflows and LLM-powered systems. You will work closely with senior engineers and product partners to take AI solutions fromproof-of-concept to production.

Key Responsibilities

• Contribute to the design and implementation ofmulti-agent workflowsusing frameworks such asLangGraph

• Participate hands-on across the AI application lifecycle fromPOC to MVP to production including data pipelines and backend integration

• Implement and maintainevaluation and testing frameworksto assess agent behavior reliability and decision quality

• Support the integration ofLLMs 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 inPythonand familiarity with production-grade software engineering practices (CI/CD unit testing prompt testing)

• Hands-on experience buildingstateful multi-step AI systemsusingagentic orchestration frameworkssuch as LangGraph

• Solid understanding ofNLP fundamentals(tokenization embeddings semantic search) and applied data science concepts (data preprocessing experimentation)

• Experience working withgraph data structures and libraries(e.g. NetworkX) to model complex relationships

• Working knowledge ofRAG architecturesand vector databases

• Basic understanding ofTransformer architecturesand exposure to fine-tuning or adapting language models

• Familiarity with AI/ML frameworks such asPyTorch or TensorFlow and exposure toKubernetesor containerized deployments is a plus

Skills and Experience

• Bachelors or Masters 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 ingenerative AI and open-source language models

• Exposure toprivate markets or asset managementis a plus but not required

• Opportunity to work onproduction-grade agentic AI systemsin a real-world financial domain

• Strong mentorship from senior AI and platform engineers

• Exposure to end-to-end AI system design in ahigh-impact enterprise platform