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Low Code Ai Developer Jobs (NOW HIRING)

Ampcus Inc

Senior Low-Code Developer

Chantilly, VA · On-site

$56.25 - $74.50/hr

... including AI/GenAI, intelligent document processing, robotic process automation (RPA), ... low-code/platform certifications such as: Appian Certified Senior or Lead Developer, Microsoft ...

N2IA Technologies

AI Developer

San Juan, PR · On-site

AI Developer N2IA Technologies is a consulting company specializing in acquisition/contracting ... Job Requirements The student will support the development of applications using low-code/no-code ...

Invenergy LLC

Analyst, Applied AI

Chicago, IL · On-site

Invenergy is North America's largest privately held developer, owner, and operator of power ... This role works under the guidance of senior team members, contributing to low-code AI agent ...

Invenergy

Analyst, Applied AI

Chicago, IL · On-site

Invenergy is North America's largest privately held developer, owner, and operator of power ... This role works under the guidance of senior team members, contributing to low-code AI agent ...

Invenergy, LLC

Manager, Applied AI

Chicago, IL · On-site

R11095Invenergy is North America's largest privately held developer, owner, and operator of power ... Design, build, deploy and manage low-code AI agents and other complex custom AI solutions, such as ...

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Low Code Ai Developer information

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$73.5K

$104.5K

$148K

How much do low code ai developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for low code ai developer in the United States is $104,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What is a low code AI developer?

A Low Code AI Developer is a professional who uses low-code platforms to design, build, and deploy artificial intelligence (AI) solutions with minimal hand-coding. These developers leverage visual interfaces and pre-built components to create applications that integrate AI features such as data analysis, predictions, and automation. This approach allows for faster development cycles and enables people with limited coding experience to participate in AI solution development. Low Code AI Developers often work closely with business stakeholders to rapidly prototype and deliver intelligent applications that address specific organizational needs.

What are the typical challenges faced by low code AI developers when integrating AI models into business applications?

Low Code AI Developers often encounter challenges when connecting pre-built AI models with existing business workflows, especially when data sources are diverse or legacy systems are involved. Ensuring that AI-powered features are both accurate and compliant with company policies can also be demanding. Additionally, balancing the ease-of-use offered by low-code platforms with the customization required for advanced AI solutions may require creative problem-solving and close collaboration with data scientists and business stakeholders.

What are the key skills and qualifications needed to thrive as a low code AI developer, and why are they important?

To thrive as a Low Code AI Developer, you need a solid understanding of software development principles, AI concepts, and experience with low-code platforms, often supported by a degree in computer science or a related field. Familiarity with tools like Microsoft Power Platform, Mendix, or OutSystems, as well as certifications in these platforms, is highly valuable. Problem-solving, creativity, and strong communication skills help developers translate business needs into functional applications and collaborate with stakeholders. These skills and qualifications are crucial for efficiently building scalable AI-driven solutions that meet organizational goals.

What is the difference between Low Code Ai Developer vs Data Scientist?

AspectLow Code Ai DeveloperData Scientist
Required CredentialsTypically certifications in AI platforms, coding knowledge, and sometimes a degree in CS or related fieldsUsually a degree in Data Science, Statistics, or Computer Science; often requires advanced analytics certifications
Work EnvironmentCollaborates with business teams, uses low-code platforms, and focuses on rapid deploymentAnalyzes complex data sets, builds models, and often works in research or analytics teams
Industry UsageUsed in business automation, product development, and AI application deploymentApplied in research, predictive modeling, and data analysis across industries

While both roles involve AI and data, Low Code Ai Developers focus on creating AI solutions using low-code tools with less emphasis on deep data analysis, whereas Data Scientists perform complex data analysis and model building, often requiring advanced statistical skills.

What are popular job titles related to Low Code Ai Developer jobs?

For Low Code Ai Developer jobs, the most frequently searched job titles are:

Infographic showing various Low Code Ai Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $104,481 per year, or $50.2 per hour.

AI Developer/Engineer

Houston, TX • On-site

Kanak Elite Services Inc
Software Development • 51 - 200 employees
Learn more about Kanak Elite Services Incexternal

Contractor

Re-posted 21 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer/Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer/Engineer

Location          : Houston , TX Onsite

Duration         : Long Term

Need - 10+ Exp Required

Key Responsibilities

  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
  • Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
  • Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
  • Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
  • Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
  • Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
  • Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
  • Provide technical mentorship to developers and engineers working on AI initiatives.
  • Maintain clear documentation and architecture diagrams for deployed AI solutions.

Qualifications

  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions.
  • Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
  • Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Experience with Azure and AWS cloud platforms and their AI/ML services.
  • Familiarity with enterprise application development and full-stack technologies.
  • Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.
  • Knowledge of AI ethics, data governance, and security best practices.
  • Excellent problem-solving and communication skills.
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Qualifications

  • Certifications in AI/ML from Azure or AWS.
  • Experience with low-code/no-code AI integration tools.
  • Understanding of DevOps practices for AI/ML model deployment.
  • Experience in customer-facing roles, with the ability to translate business needs into technical solutions.