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Applied Ai Engineer Jobs in Spring Valley, NY (NOW HIRING)

Applied AI Engineer

New York, NY · On-site

$180K - $225K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Our team is extremely talent-dense. Among our founding team, we have world ...

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a ...

Applied AI Engineer

New York, NY · On-site

$150K - $300K/yr

The Role As an Applied AI Engineer, you'll bring the frontier of AI research and engineering to Rowspace, transforming how our platform understands and surfaces critical financial insights. In a ...

Applied AI Engineer

New York, NY · On-site

$150K - $400K/yr

About the role We're hiring Applied AI Engineers who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We don't build ...

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

Applied AI Engineer

New York, NY · On-site

$105K - $120K/yr

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic "operating system" that powers how we work as a company. In this ...

Applied AI Engineer

New York, NY · On-site

$175K - $250K/yr

Role Overview As an Applied AI Engineer, you will design and deploy the AI agents that power PermitFlow's pre-construction platform. You will own the full lifecycle of intelligent agents-from model ...

Applied AI Engineer Duration: 6-12 months contract to hire Location: NYC or San Francisco, CA Job Type: Onsite Our client is an applied biological intelligence company. They build and deploy software ...

Applied AI Engineer, Enterprise

New York, NY · On-site +1

$197K - $278K/yr

About the Team OpenAI's Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives ...

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and startups. We act as a trusted advisor and ...

Applied AI Engineer

New York, NY · On-site

$145K - $200K/yr

Headquartered in New York, our growing team is a group of AI, product, and engineering experts, who have a track record of creating and executing against complex workflows and infrastructure.

Applied AI Engineer

New York, NY · On-site

$105K - $120K/yr

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic "operating system" that powers how we work as a company. In this ...

Applied AI Engineer

New York, NY · Remote

$175K - $250K/yr

Role Overview As an Applied AI Engineer, you will design and deploy the AI agents that power PermitFlow's pre-construction platform. You will own the full lifecycle of intelligent agents--from model ...

Senior Applied AI Engineer

New York, NY · On-site

$200K - $240K/yr

The Role We're looking for a Senior Applied AI Engineer to help build the LLM and retrieval systems at the core of our AI Moderator - the engine that conducts thousands of real-time expert interviews ...

About the team The Applied AI Engineer, Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a ...

The position We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated ...

Applied AI Engineer

New York, NY · On-site

$175K - $250K/yr

Applied AI Engineer About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver ...

The position We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated ...

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Applied Ai Engineer information

What are the key skills and qualifications needed to thrive as an applied AI engineer?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What are some common challenges applied AI engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

How much does an applied AI engineer make?

An applied AI engineer's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What job categories do people searching Applied Ai Engineer jobs in Spring Valley, NY look for?

The top searched job categories for Applied Ai Engineer jobs in Spring Valley, NY are:

What cities near Spring Valley, NY are hiring for Applied Ai Engineer jobs?

Cities near Spring Valley, NY with the most Applied Ai Engineer job openings:

Applied AI Engineer

New York, NY • On-site

Cognition
1 - 10 employees

$180K - $225K/yr

Full-time

Re-posted 5 days ago


Job description

We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us.
About the Role
Applied AI Engineers are how Cognition operationalizes AI modernization at the enterprise level. You don't demo Devin - you deploy it. You embed with engineering teams, integrate agentic workflows into how they actually build and ship, and drive the kind of measurable productivity gains that make adoption irreversible.
As one of our first Applied AI Engineers, you'll also shape the function itself - turning individual customer engagements into repeatable playbooks, digital learning content, and partner-driven enablement models that allow Cognition to reach hundreds of thousands of engineers worldwide.
This role is perfect for someone who has strong engineering fundamentals, enjoys working directly with customers, and finds deep satisfaction in driving product adoption and having users unlock their potential with Devin - while also thinking systematically about how to scale those learnings to the next 100 teams.
In this role, you will:
  • Embed with enterprise engineering teams to drive deep, lasting adoption of Devin - owning outcomes, not just onboarding
  • Architect and implement agentic workflows across engineering, QA, support, data, and product - identifying where AI creates the highest leverage and building toward it
  • Lead interactive programs for enterprise engineering teams (live workshops, pair programming sessions)
  • Guide customers through installing, configuring, and optimizing Devin and its associated tools (DeepWiki, MCP integrations, etc.)
  • Pair-program on live production problems to demonstrate high-value usage patterns and accelerate the team's applied AI fluency
  • Quantify impact - tracking productivity metrics, surfacing ROI stories, and making the business case for expanding Devin's footprint within accounts
  • Work with leadership to scale field learnings into structured playbooks and best practices that scale beyond individual engagements
  • Create enablement materials, best practices, and shared playbooks based on customer learnings
Requirements for the Role:
  • Degree in a STEM field or equivalent hands-on experience
  • 3+ years as a software engineer, technical consultant, deployment strategist, forward deployed engineer, solutions engineer or similar roles with strong coding proficiency (Python, JavaScript/TypeScript, or similar)
  • Proven ability to communicate complex technical topics to diverse audiences
  • Proven track record of driving technical adoption and measurable impact inside engineering organizations
  • Strong commercial instincts; you understand that successful engagements grow accounts, and you operate accordingly
  • Excellent verbal and written communication skills
  • Demonstrated ability to learn and adapt exceptionally fast
You might excel if you...
  • You've led developer enablement, platform adoption, or internal AI modernization initiatives - and you can point to the before/after metrics
  • Have deployed or integrated LLM or agent-based systems in production settings
  • Have previously founded or joined early-stage startups where autonomy and execution speed were critical
  • You're energized by seeing a team's velocity compound after working with them - and you engineer those outcomes deliberately
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.