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Applied Engineer Jobs (NOW HIRING)

Microsoft

Applied Engineer II

Redmond, WA · On-site

$133K - $219K/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

We measure how effectively AI is applied to deliver results, and consistent, creative use of the ... About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines ...

Applied Engineering

Process Engineer

Oshkosh, WI

$97K - $112K/yr

COMPANY OVERVIEW Process Engineer | Ripon, WI Applied Engineering, Inc. is seeking a motivated and hardworking individual to join our team in Ripon, WI as a Process Engineer. You will be part of a ...

Applied Engineering

Process Engineer

Fond Du Lac, WI

$97K - $112K/yr

COMPANY OVERVIEW Process Engineer | Ripon, WI Applied Engineering, Inc. is seeking a motivated and hardworking individual to join our team in Ripon, WI as a Process Engineer. You will be part of a ...

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Applied Engineer information

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How much do applied engineer jobs pay per hour?

As of Jun 23, 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 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.

What do applied engineers do?

Applied engineers develop and implement practical solutions by applying engineering principles to real-world problems. They often work on product design, testing, and optimization, using tools like CAD software and data analysis. Their work typically involves collaboration across teams and may require technical certifications or specialized knowledge in their field.

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries like technology or finance. These roles often require expertise in programming, cloud platforms, or complex system design, and may include bonuses or stock options that contribute to total compensation.

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.

What job makes $10,000 a month without a degree?

Applied engineers and similar technical roles can earn $10,000 or more per month through specialized skills, experience, and working in high-demand industries such as software development, data engineering, or cloud computing. These positions often require strong technical knowledge, problem-solving abilities, and proficiency with tools like programming languages and engineering platforms, but may not always require a formal degree if skills are demonstrated through experience or certifications.

What engineers make $300,000 a year?

Senior engineers in fields such as software, electrical, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or managing large projects and teams.
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Applied Engineer jobs near you
Infographic showing various Applied Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% 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 12 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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