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Applied Engineer Jobs (NOW HIRING)

Microsoft

Applied Engineer II

Redmond, WA · On-site

$131.40K - $215.40K/yr

Overview As an Applied Engineer II you will play a pivotal role in contributing to the development and integration of cutting-edge AI technologies into Microsoft products and services and ensuring ...

Deepgram

Senior Solutions Engineer, Federal

Washington, DC · Remote

$62.50 - $80.75/hr

More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by ... We measure how effectively AI is applied to deliver results, and consistent, creative use of the ...

Applied Engineering

Electrical Engineer

Milwaukee, WI

$97K - $112K/yr

COMPANY OVERVIEW Electrical Engineer | Greater Milwaukee, WI Applied Engineering, Inc. is seeking a motivated and hardworking individual to join our team in Greater Milwaukee, WI as a Electrical ...

Applied Engineering

Mechanical Engineer

Chaska, MN

$97K - $112K/yr

COMPANY OVERVIEW Mechanical Engineer | Brooklyn Park, MN Applied Engineering, Inc. is seeking a motivated and hardworking individual to join our team in Brooklyn Park, MN as a Mechanical Engineer.

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How much do applied engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for applied engineer in the United States is $47.09, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $60.82 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Engineer, and why are they important?

To thrive as an Applied Engineer, you need a strong background in engineering principles, problem-solving, and project management, typically supported by a degree in engineering or a related field. Familiarity with CAD software, manufacturing systems, and quality control tools, as well as certifications like Six Sigma or Lean, are commonly required. Strong analytical thinking, effective communication, and teamwork skills help distinguish top performers in this role. These abilities ensure efficient project execution, innovative solutions, and successful collaboration within multidisciplinary teams.

How do Applied Engineers typically collaborate with cross-functional teams during project development?

Applied Engineers often play a central role in project development by bridging the gap between design concepts and practical implementation. They work closely with teams from R&D, manufacturing, and quality assurance to ensure that solutions are both innovative and feasible. Regular meetings, collaborative problem-solving sessions, and clear communication are essential to address technical challenges and align project goals. This collaborative environment not only enhances project outcomes but also provides opportunities for Applied Engineers to learn from other disciplines and advance their careers.

What are applied engineers?

Applied engineers are professionals who use principles of engineering, mathematics, and science to solve practical problems and improve processes in various industries. Unlike theoretical engineers, applied engineers focus on implementing and optimizing technology, equipment, and systems in real-world settings. They often work in manufacturing, product development, quality control, and operations, bridging the gap between design and production. Applied engineers are skilled in troubleshooting, project management, and applying technical knowledge to enhance efficiency and innovation.
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Applied Engineer jobs near you
Infographic showing various Applied Engineer job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 83% Physical, 12% Hybrid, and 5% Remote job distribution, with an average salary of $97,940 per year, or $47.1 per hour.

Applied Engineer

Steel Point Opportunities

New York, NY

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.

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