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Ai Application Developer Jobs (NOW HIRING)

Diverse Lynx

AI Application Developer

Saint Louis, MO · Remote

AI Application Developer Location - St Louis, MO (Remote) Job Type: Long Term Contract Must Have - Machine Learning and Statistical modeling, MS SQL, Python, PyTorch, TensorFlow We are seeking an ...

3S Incorporated

AI Application Developer

Saint Paul, MN

$106K - $159K/yr

AI Application Developer At APi Group, our enduring purpose is Building Great Leaders ® . We grow our people and our business, invest in the safety and well-being of our teams and communities, and ...

E-Solutions

AI Application Developer

Encino, CA

Data Engineering & Feature Engineering Hands on experience with data preprocessing, cleaning, and ... Generative AI / LLM Based Application Development Experience building applications using Large ...

NTT DATA

AI Application Engineer

Santa Clara, CA · On-site

AI Application Engineer NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

Inficare

AI Application engineer

Santa Clarita, CA

Role - AI Application engineer Location - Santa Clara, CA (Onsite) Duration - 12+ months Need ... Cloud & DevOps * Hands-on experience with cloud platforms (AWS / Azure / GCP). * Experience ...

KPMG

Manager, AI Application Developer

Albany, NY · On-site

KPMG is currently seeking a Manager, AI Application Developer to join our Digital Nexus technology organization. Responsibilities: * Design, develop, and deploy AI-enabled applications using .NET ...

Rite-Hite

Sr AI Application Developer

Milwaukee, WI · On-site

$94.60K - $130.10K/yr

Mentor and upskill existing developers on AI concepts, patterns, and best practices. Required Skills & Experience * 5+ year of full stack development experience. * Strong software engineering ...

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How much do ai application developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for ai application developer in the United States is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $60.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Application Developer, and why are they important?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI Application Developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is an AI Application Developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

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What job categories do people searching Ai Application Developer jobs look for? The top searched job categories for Ai Application Developer jobs are:
Ai Application Developer jobs near you
Infographic showing various Ai Application Developer job openings in the United States as of May 2026, with employment types broken down into 46% Full Time, 8% Part Time, and 46% Contract. Highlights an 29% Physical, 7% Hybrid, and 64% Remote job distribution, with an average salary of $109,490 per year, or $52.6 per hour.
AI Application Developer

AI Application Developer

Diverse Lynx

Saint Louis, MO • Remote

Other

Posted 16 days ago

Job description

AI Application Developer

Location - St Louis, MO (Remote)

Job Type: Long Term Contract

Must Have - Machine Learning and Statistical modeling, MS SQL, Python, PyTorch, TensorFlow

We are seeking an experienced AI Application Developer / AI Engineer to design, build, and deploy end to end AI solutions using modern machine learning and generative AI techniques. The role involves working hands on with data, models, and production systems to deliver scalable, reliable AI applications—without reliance on code assist tools such as GitHub Copilot.

Key Responsibilities

  • Design, develop, and deploy end to end AI applications from data ingestion to production inference.
  • Build data pipelines for data preparation, feature engineering, and model training.
  • Select, train, evaluate, and optimize machine learning and deep learning models.
  • Develop APIs and services to expose AI models for real time and batch use cases.
  • Implement monitoring, logging, and model performance tracking in production.
  • Collaborate with product, data, and domain teams to translate business requirements into AI solutions.
  • Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usage.

Required AI Skill Areas (Core – 4 Skills)

  • Machine Learning & Model Development
  • Strong understanding of supervised and unsupervised learning techniques.
  • Familiarity with evaluation metrics and model validation techniques.
  • Data Engineering & Feature Engineering
  • Hands on experience with data preprocessing, cleaning, and exploratory data analysis.
  • Experience using Python libraries such as Pandas and NumPy, along with SQL.
  • Generative AI / LLM Based Application Development
  • Experience building applications using Large Language Models (LLMs).
  • Experience integrating LLM APIs into enterprise applications.
  • AI System Design, Deployment & MLOps
  • Ability to design scalable AI architectures for training and inference.
  • Experience deploying models as APIs or services (e.g., using FastAPI or Flask).

Technical Skills

  • Strong proficiency in Python
  • Experience with ML/DL frameworks such as PyTorch or TensorFlow
  • Familiarity with REST APIs, microservices, and cloud platforms (GCP)
  • Knowledge of model lifecycle management tools (e.g., MLflow – preferred)

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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