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Ai Application Developer Jobs in New York (NOW HIRING)

Application Developer

Morris Plains, NJ ยท On-site

$29 - $31/hr

Application Developer Morris Plains, NJ (hybrid remote) $30/hr ABOUT THE ROLE Our client is seeking ... Experience with AI tools is considered a plus. WHAT YOU'LL DO * Support and maintain web-based ...

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Position Details Position Information Recruitment/Posting Title Application Developer I Job ... AI) technology. Additional tasks related to the ongoing documentation, maintenance, and improvement ...

Application Developer - II POSITION OBJECTIVE We are seeking a highly motivated and detail-oriented ... Experience with the integration of AI/LLM solutions in corporate settings. * Knowledge of IIS web ...

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Ai Application Developer information

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How much do ai application developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai application developer in New York is $57.59, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $66.25 per hour, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as an AI application developer?

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 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.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

What are popular job titles related to Ai Application Developer jobs in New York?

For Ai Application Developer jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Ai Application Developer jobs?

Cities in New York with the most Ai Application Developer job openings:

Infographic showing various Ai Application Developer job openings in New York as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $119,786 per year, or $57.6 per hour.

AI Prompt Engineer / AI Application Engineer

Manhattan, NY โ€ข On-site, Remote

Afficiency
Insurance Servicesย โ€ขย 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Company Description

Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platforms or with agents who sell insurance. The company is experiencing rapid growth and is well-funded. We are looking for new team members to join us on our journey to shake up the life insurance industry. We need individuals who bring passion, curiosity, and a desire for excellence. 

Job Description

We are seeking a highly skilled AI Prompt Engineer / AI Application Engineer to design, develop, and deploy AI-driven digital solutions for Life Insurance business applications. The ideal candidate will possess strong full-stack development expertise along with hands-on experience in AI technologies, agentic workflows, prompt engineering, and Large Language Model (LLM) integrations. 

This role will focus on building real-time AI-powered applications that enhance customer experience, underwriting, servicing, claims processing, agent productivity, knowledge management, and operational efficiency. 

The successful candidate will work closely with business stakeholders, solution architects, data engineers, and digital product teams to deliver enterprise-grade AI solutions. 

This role is for someone who is based in the NYC Metro Area, passionate about building real-world GenAI applications and bringing them into production, while continuously improving performance, reliability, and user outcomes. 

Qualifications

Responsibilities

AI & Prompt Engineering 

  • Design, develop, and optimize prompts for Large Language Models (LLMs) including OpenAI Codex, GPT, Claude, Gemini, and other enterprise AI platforms. 

  • Build AI-powered workflows, copilots, virtual assistants, and intelligent agents for insurance business processes. 

  • Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge repositories and policy documentation. 

  • Implement prompt testing, evaluation, and optimization frameworks to improve accuracy, consistency, and reliability. 

  • Design agent-based solutions using tools, skills, plugins, function calling, workflows, and orchestration frameworks. 

  • Create reusable prompt libraries and AI solution accelerators. 

  • Monitor AI performance metrics and continuously improve model outcomes. 

Application Development 

  • Design and develop modern web applications using React.js and related frontend technologies. 

  • Build RESTful APIs and microservices using Python Flask. 

  • Integrate AI services into enterprise digital applications. 

  • Develop real-time applications supporting customer service, underwriting, policy servicing, and claims workflows. 

  • Implement authentication, security, and scalability best practices. 

Data & Integration 

  • Connect AI applications to enterprise systems through APIs and service layers. 

  • Work with structured and unstructured data sources supporting AI use cases. 

Architecture & Delivery 

  • Participate in AI solution architecture and technology selection. 

  • Conduct proof-of-concepts and rapid prototypes. 

  • Collaborate with cloud, data, and application teams. 

  • Follow DevOps, CI/CD, and Agile development practices. 

  • Maintain documentation, technical specifications, and AI governance controls

Education 

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Data Science, or related discipline. 

Experience 

  • Minimum 4+ years of software engineering experience. 

  • Minimum 2+ years developing AI-powered applications or Generative AI solutions. 

  • Experience in Life Insurance, Financial Services, or regulated industries is highly preferred. 

Technical Skills / Exposure 

  • Front-End Development 

  • React.js 

  • JavaScript / TypeScript 

  • HTML5 / CSS3 

  • Responsive UI development 

  • Backend Development 

  • Python 

  • Flask API Development 

  • REST APIs 

  • Microservices Architecture 

  • Database Technologies 

  • SQL Server, PostgreSQL, MySQL, or Oracle 

  • Database design and optimization 

  • Query performance tuning 

  • AI & Generative AI 

  • Prompt Engineering 

  • Large Language Models (LLMs) 

  • OpenAI GPT/Codex 

  • Anthropic Claude 

  • Google Gemini 

  • AI Agents and Agentic Workflows 

  • RAG (Retrieval Augmented Generation) 

  • Vector Databases 

  • Embeddings 

  • Fine-Tuning Concepts 

  • Model Evaluation Techniques 

  • Tool Calling and Function Calling 

  • AI Frameworks & Tools 

  • Claude (co-work, code and design) 

  • Microsoft Copilot Studio 

  • AI Skills and Plugin Development 

  • Workflow Orchestration Frameworks 

  • Cloud & DevOps 

  • Git/GitHub 

  • Azure DevOps 

  • CI/CD Pipelines 

Desired Competencies 

  • Strong analytical and problem-solving abilities. 

  • Ability to quickly learn emerging AI technologies. 

  • Excellent communication and stakeholder engagement skills. 

  • Strong understanding of responsible AI practices. 

  • Ability to work independently in a fast-paced environment. 

  • Strong focus on solution quality, scalability, and business outcomes. 


Additional Information

Success Criteria 

Within the first 6 months, the candidate will: 

  • Deliver production-ready AI-powered digital applications. 

  • Build reusable prompt engineering frameworks and AI accelerators. 

  • Develop real-time AI agents supporting insurance operations. 

  • Improve operational efficiency and customer experience through Generative AI solutions. 

  • Establish best practices for AI application development, governance, and monitoring. 

Benefits 

  • Competitive salary with equity options 

  • Robust health, dental, and vision benefits for employee and dependents 

  • 401k matching contributions 

  • Generous PTO policy 

  • Provided work-from-home equipment  

Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.