About this role
About the Role
The Full Stack Engineer builds end-to-end, AI-enabled research applications that deliver data, models, and insights seamlessly to investors and researchers. Embedded within a PMG research pod, this role works closely with the AI Lead, Solutions Lead, and Research Engineers to translate investor workflows into intuitive, interactive application experiences.
Full Stack Engineers combine front-end and back-end development skills with an understanding of research needs to build applications that fit naturally into how investors conduct research. They integrate data, analytics, and AI capabilities into user interfaces that enhance investment decision-making.
This role uses modern application frameworks across the stack (such as Python APIs, AI/LLM services, cloud data platforms, and contemporary web UI frameworks), without requiring deep specialization in any single technology.
Key Responsibilities
Research Application Development (End-to-End)
Build full-stack research applications that combine data, analytics, and AI features.
Develop back-end services/APIs to deliver research datasets, model outputs, and interactive capabilities.
Implement front-end interfaces that present insights clearly and support investor workflows.
Collaboration with AI Leads & Research Teams
Work closely with the AI Lead to understand investor research use cases, workflows, and decision processes.
Embed business context into application design so tools feel intuitive, relevant, and tailored to investor needs.
Collaborate with the Solutions Lead to refine workflows, user journeys, and feature priorities.
AI Integration
Integrate AI capabilities (e.g., natural language components, retrieval flows, model-driven insights) into research applications.
Implement back-end logic to support AI features, in partnership with the AI Lead.
Data Access & Research Workflow Integration
Build application services that interact with cloud data platforms and internal research pipelines.
Ensure applications connect cleanly to research datasets prepared by Research Engineers.
Optimize data access patterns for performance and reliability.
Quality, Reliability & Deployment
Collaborate with horizontal Ops Intelligence teams to ensure appropriate instrumentation, monitoring, and operational reliability.
Apply good engineering practices including testing, version control, structured deployment, and maintainability.
Support continuous improvement and iteration based on user feedback.
Pod & Engineering Hub Collaboration
Work as a core member of the pod’s engineering group (AI Lead, Solutions Lead, Research Engineers).
Coordinate with horizontal engineering groups (Workflow Automation, Ops Intelligence) to leverage platform capabilities and shared tooling.
Contribute to reusable components, patterns, and best practices across pods.
Qualifications
Required:
3+ years of experience building production-grade full-stack applications using a modern Python backend framework (e.g., FastAPI, Flask, etc) and a modern frontend framework (e.g., React/Next.js) with TypeScript.
Proven experience designing, consuming, and securing REST / GraphQL APIs that integrate with cloud data platforms (e.g., Snowflake, BigQuery, etc).
Experience collaborating closely with data engineers on complex, high-volume data pipelines, ensuring backend services, APIs, and data contracts integrate cleanly with their workflows.
Hands-on experience integrating analytics or AI/LLM features into applications (prompting, retrieval/RAG, orchestration, monitoring).
Experience deploying and operating full-stack applications on major cloud platforms (GCP, AWS or Azure), including CI/CD, observability, and performance tuning.
Strong ability to translate business or domain workflows into technical designs, data contracts, and scalable application architectures.
Excellent communication skills with non-technical stakeholders; able to gather requirements, demo iteratively, and document systems clearly.
Preferred:
Prior work on research, analytics, or portfolio / risk / market data–driven applications in the investment management or broader financial services domain.
Exposure to building multimodal AI applications.
Key Attributes
Strong user-centric mindset—learns how investors work and designs applications that support their thinking.
Balanced engineering skills across both front-end and back-end development.
Collaborative and comfortable working in cross-functional pod structures.
Curious, adaptable, and eager to experiment with new technologies and capabilities.
Strong ownership and commitment to building reliable, maintainable systems.
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.
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
