Design, build, test, and deploy full-stack applications using Python and modern JavaScript or TypeScript frameworks, supported by automated testing and AI evaluations covering correctness, grounding, reliability, and failure cases.
Develop backend APIs, orchestration services, and application data models for interactive and long-running workflows using relational and non-relational databases.
Build user-facing review and approval experiences that integrate governed language-model, document-intelligence, embedding, semantic-search, vector-search, and source-grounded generation capabilities.
Apply secure software-delivery practices, including continuous integration and continuous delivery (CI/CD), logging, monitoring, troubleshooting, and disciplined validation of AI-assisted code.
Partner with domain experts, Aladdin Engineering, and other technology teams to understand workflows, identify appropriate automation, and integrate applications with shared platforms and services.
Create reusable components, engineering patterns, and documentation that make future applications faster, safer, and easier to maintain.
Your experience
Four or more years of professional software-engineering experience building and shipping applications, supported by a bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
Strong Python programming skills and experience developing backend services, designing APIs, testing software, using Git and code review, supporting continuous delivery, and deploying applications in cloud or managed-platform environments.
Experience with JavaScript or TypeScript and a modern frontend framework such as React or Angular, along with working knowledge of Structured Query Language (SQL), data modeling, and application databases.
Hands-on experience building LLM capabilities such as retrieval-augmented generation (RAG), structured extraction, tool use, prompt workflows, or AI evaluation, with sound judgment when using AI-assisted development tools and familiarity with responsible-AI controls and observability.
Ability to break down ambiguous problems, evaluate technical options, and communicate recommendations clearly in professional English and Spanish.
Preferred experience with Azure-based storage, database, document-intelligence, and search services, including unstructured-document processing, hybrid retrieval, embeddings, vector databases, reranking, and retrieval evaluation.
Preferred familiarity with asynchronous or batch-processing pipelines, Open Container Initiative (OCI) container image packaging and runtime, enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling, Infrastructure as Code, traditional natural-language processing, custom model deployment or fine-tuning, and regulated financial or operational workflows.
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 innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
