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Manager Applied Engineer Jobs (NOW HIRING)

Manager - Applied AI

Burbank, CA

$171.60K - $230.10K/yr

Manager - Applied AI Req ID: 10150905 Department Description: At Disney, we're storytellers. We ... Engineers who know product are great. Product ninjas who know how to build are great. What we care ...

Manager - Applied AI

Seattle, WA

$171.60K - $230.10K/yr

Manager - Applied AI Req ID: 10150905 Department Description: At Disney, we're storytellers. We ... Engineers who know product are great. Product ninjas who know how to build are great. What we care ...

Engineering Manager, Applied AI

New York, NY · On-site

$250K - $400K/yr

About the Role We're hiring Engineering Managers to lead teams within our Applied AI organization. Applied AI builds systems that directly improve model quality, including evaluation infrastructure ...

Job Title:** Manager, Applied Science**Job Location:** Boston, Massachusetts**Job Type ... Employer will accept a Master's degree in Economics, Engineering (Any), Information Technology ...

Who We're Seeking Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Employer will accept a Master's degree in Economics, Engineering (Any), Information Technology, Information Management, Mathematics, Statistics or a related field and 3 years of experience in the job ...

Who We're Seeking Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Manager, Applied Computing

Hawthorne, CA · On-site

$190K - $245K/yr

MANAGER, APPLIED COMPUTING As a Manager in Applied Computing, dedicated to enterprise AI, you will ... Mentor and manage a team of engineers, promoting a positive, "can-do" attitude and delivering ...

Who We're Seeking Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied ... Bachelor's degree in engineering, information systems, computer science, business administration ...

Who We're Seeking Qvest US is seeking an experienced Project Manager in Technical Delivery, Applied ... Bachelor's degree in engineering, information systems, computer science, business administration ...

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Manager Applied Engineer information

What cities are hiring for Manager Applied Engineer jobs? Cities with the most Manager Applied Engineer job openings:
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Infographic showing various Manager Applied Engineer job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 66% Physical, 10% Hybrid, and 24% Remote job distribution.

Full-time

Posted 17 days ago


Job description

This role sits at the intersection of AI implementation and financial software. You won't just use AI tools you'll build AI-powered features directly into client platforms: LLM-driven research intelligence, agentic workflows, MCP-connected data sources, and automation layers that compress weeks of analyst work into seconds. The ideal candidate is a strong full-stack engineer who is fluent in modern AI tooling and deeply curious about how hedge funds and asset managers think, invest, and operate. Speed is a core part of the job the company delivers fully customized platforms in weeks, not months. What You'll Do: -AI-Powered Feature Development: Build LLM-powered features into client-facing platforms research intelligence tools, natural language query layers, automated summarization, and agentic workflows that change how investment teams work. -Agentic Tooling & MCP Integration: Design and implement MCP-connected data sources, agentic pipelines, and AI orchestration layers using frameworks like Claude Code, LangGraph, OpenClaw, OpenCode, and similar. -Full-Stack Application Development: Build end-to-end applications tailored to each client's unique portfolio analytics, risk management, and research workflows from backend APIs to responsive frontends. -Backend Services: Design and maintain high-performance APIs using Python (FastAPI or similar) powering client-specific data access, analytics, and AI inference. -Frontend Development: Build intuitive, responsive UIs in React enabling investment teams to interact with complex financial data clearly and efficiently. -Data Pipeline Development: Build and maintain ETL pipelines handling positions, securities, risk metrics, and research signals with reliability and performance. -Financial Analytics: Implement analytics layers for performance and risk calculations using timeseries and linear algebra operations (Pandas, Polars). Ship Fast, Iterate Often: Deliver working software in compressed timelines, gather direct user feedback, and continuously improve treating speed and quality as complementary. -Kubernetes Deployments: Work fluidly with Kubernetes within each client environment to ship fast and reliably. What Required to Succeed: -3 8 years as a full-stack SWE or applied AI engineer (institutional investor or fintech) -Demonstrated record using agentic AI tooling effectively (Claude Code, Codex, MCP servers) and building user-facing products 0-to-1 -Strong Python expertise (non-negotiable; API experience with FastAPI, Flask, or Django highly preferred) -First-principles understanding of the agentic loop used within most agentic frameworks (Codex, Claude Code, OpenCode, Cline, etc.) -Effective in unstructured environments and ability to solve loosely defined problems -Genuine conviction that AI is transforming software and deep interest in how institutional investors think and use tech Company Preferences: -Institutional investor or fintech experience (Two Sigma, DE Shaw, Citadel, P72, Addepar) or other data-first/quantitative fields (health/biotech) -AI implementation experience hands-on building with LLM APIs, MCP servers, agentic frameworks (Claude Code, OpenClaw, LangChain), prompt engineering, etc.