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Full Stack Engineer, Portfolio Management Group

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BlackRock Investments

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Location:
India , Gurgaon

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Full Stack Engineer builds end-to-end, AI-enabled research applications that deliver data, research platforms and insights seamlessly to investors and researchers. Embedded within DS&S research pods - asset-class focused sub-teams - this role requires collaboration with AI Product leads, data leads and the investor teams to transform research workflows into intuitive, interactive and resilient production-grade applications.

Job Responsibility:

  • Design, build and deploy investor research apps end‑to‑end owning frontend, backend APIs, data/AI features, and intuitive UIs that fit investor workflows
  • Partner with the Research Pod Leads and investors to translate business requirements into product design and iteratively build high quality web applications
  • Write reusable, maintainable, and extensible code, and create documentation for team members
  • Build modules, libraries and frameworks that can help scale building web applications based on similar patterns
  • Ensure that the web applications have the required instrumentation and observability that helps investors build confidence in operational health of the app
  • Act as a core pod member and coordinate with horizontal engineering teams to leverage shared tooling and contribute to building tools and development processes across pods

Requirements:

  • B.S. / M.S. college degree in Computer Science, Engineering, or related subject area
  • 3+ years hands-on software development exposure in full-stack applications
  • Experience building production-grade full-stack applications with a modern Python backend (FastAPI, Flask, etc.) and TypeScript/JavaScript frontend (React/Next.js.)
  • Strong problem-solving, analytical, and software architecture skills
  • Experience deploying and operating full-stack systems on Cloud Platforms (GCP/Azure) including CI/CD, observability, and analytics
  • Strong capability to translate business workflows into scalable technical designs and intuitive applications
  • Excellent communication skills, with the ability to gather requirements from investors and product owners, collaborate and deliver iteratively, and produce clear documentation for non-technical partners

Nice to have:

  • Proven ability to work closely with data engineering teams on high-volume data pipelines and data visualization using modern cloud platforms such as BigQuery or Snowflake
  • Experience building applications with leading AI model providers such as Open AI, Vertex, and/or Anthropic
  • Hands-on experience with analytics and AI/LLM features (prompt engineering, RAG/retrieval, agentic orchestration, LLM monitoring, multi-modality inputs)
  • Experience building research, analytics, or portfolio/risk/market-data applications within investment management or broader financial services
What we offer:
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)

Additional Information:

Job Posted:
February 20, 2026

Expiration:
February 25, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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