Level

Morgan Stanley

AI Full Stack Engineer (Prime Brokerage Technology)

Morgan Stanley is hiring an AI Full Stack Engineer (Prime Brokerage Technology) in New York, United States. It pays $120k-$170k a year and Level rates it ; you can apply on Level.

AI in this role

Lead the development of AI-enabled client-facing digital platforms and workflow solutions for Prime Brokerage.

langchainlanggraphllmsragai-agentspythonreact
prompt-engineeringragllm-integrationai-agentsfull-stackartificial-intelligencecloud-nativemicroservices

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

This is a Software Engineering position at the Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.

Morgan Stanley’s Prime Brokerage Client Digital Technology team in NY is seeking an AI-focused Full Stack Developer with 4+ years of Financial Services experience to build and modernize client-facing digital platforms for Prime Brokerage and Hedge Fund clients. The role requires strong engineering fundamentals, AI/GenAI capability, direct business engagement, global collaboration, and ownership of secure, scalable, high-performance platforms with best-in-class user experience.

What you’ll do in the role:

  • Build and support client-facing web, mobile, and API platforms.

  • Partner with business stakeholders to translate requirements into scalable solutions.

  • On delivery from concept through production deployment and support.

  • Delivery time-sensitive initiatives with strong focus on quality, resiliency, and reliability

  • Develop AI-enabled capabilities using LLMs, RAG, AI agents, workflow orchestration, and automation.

  • Identify opportunities to improve client and operational workflows through AI.

  • Modernize applications using cloud-native, API-first, and microservices architectures.

  • Improve scalability, performance, observability, security, and maintainability.    

  • CI/CD, automated testing, DevOps, and engineering best practices.

  • Champion Deliver intuitive user experiences using analytics, feedback, and UX partnership.

  • Collaborate across global engineering, product, infrastructure, and business teams.

  • Mentor junior developers and contribute to engineering excellence.

What you’ll bring to the role:

  •  4+ years of software engineering experience.

  • Experience in Banking, Capital Markets, Prime Brokerage, Fund Services, or Financial Services.

  • Strong full-stack development experience with enterprise-scale applications.

  • Proven ability to work independently and drive complex initiatives.

  • Strong communication, stakeholder management, and problem-solving skills.

  • Experience delivering secure, scalable, highly available customer-facing platforms.

Technical Skills

  • Frontend: Angular, React, TypeScript, JavaScript, responsive/mobile-first design.

  • Backend: Java and/or Python, Spring Boot, REST APIs, microservices.

  • Cloud & DevOps: CI/CD, Docker, Kubernetes, automated testing, observability.

  • AI / GenAI: LLM integration, RAG, prompt engineering, LangGraph/LangChain or similar frameworks, vector databases, AI workflow orchestration.

Ideal Candidate

  • Self-starter with strong ownership and accountability.

  • Collaborative, execution-focused, and comfortable working with business.

  • Passionate about AI, platform modernization, and exceptional user experience.

  • Balances innovation with operational rigor, security, and risk awareness.

  • Continuously improves products, processes, and engineering practices.

  • Success in this role means delivering innovative AI-enabled client solutions, driving platform modernization, and building secure, scalable digital experiences trusted by hedge fund and institutional clients.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $120,000 and $170,000 per year at the commencement of employment.  However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
 

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

How we rate this

AI Full Stack Engineer (Prime Brokerage Technology) at Morgan Stanley rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGLLM IntegrationAI agentsFull StackArtificial IntelligenceCloud NativeMicroservices

Also common in software engineer jobs at this level

Pay

This job starts at
$120k
Typical software engineer job
$168k

This posting starts 29% below the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How have you integrated a large language model into a production application?
  4. How do you decide when an AI agent can act on its own versus asking for approval first?
  5. Tell me about a project where full stack was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, LLM Integration, AI agents, and Full Stack. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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