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Ai Developer Jobs (NOW HIRING)

AI Developer

Mettawa, IL · On-site

$80/hr

Senior AI Developer Location: Mettawa, IL (Onsite) Rate: $80/hr on C2C Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will ...

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview : ONSITE INTERVIEW IS A MUST Description * The AI Developer will develop, and implement AI-based ...

As an AI Developer, you will design, build, and optimize AI-powered tools, automations, and workflows that enhance creative production across Wellcom HOME. Working closely with production teams ...

As an AI Developer, you will design, build, and optimize AI-powered tools, automations, and workflows that enhance creative production across Wellcom HOME. Working closely with production teams ...

As an AI Developer, you will design, build, and optimize AI-powered tools, automations, and workflows that enhance creative production across Wellcom HOME. Working closely with production teams ...

AI Developer

Beavercreek, OH · On-site

$77K - $176K/yr

R0243250 AI Developer The Opportunity: As an experience d AI engineer, you know that AI systems are critical to understanding and processing massive datasets in an organization. Your ability to ...

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Role: Senior AI Developer Location: Mettawa, IL (Onsite) Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be ...

AI Developer

Manhattan, NY · On-site

$115K/yr

As an AI Developer, you will design, build, and optimize AI-powered tools, automations, and workflows that enhance creative production across Wellcom HOME. Working closely with production teams ...

AI Developer

$184K - $209K/yr

Description AI Developer De Novo Innovation Incubator Davis Wright Tremaine LLP - Building legal solutions at the intersections of clients, law, and operations Davis Wright Tremaine LLP is looking ...

The AI Developer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large datasets

The AI developer will design, build, and operate LLM-powered agents that interpret inbound servicing requests (e.g., email / case intake), retrieve grounded knowledge, and execute approved workflows ...

AI Developer

Arlington, VA · On-site

$77K - $176K/yr

R0243273 AI Developer The Opportunity: As an experience d AI engineer, you know that AI systems are critical to understanding and processing massive datasets in an organization. Your ability to ...

AI Developer

Springfield, VA · On-site

$100K - $125K/yr

Job Title AI Developer Location Springfield, VA 22150 US (Primary) Category Information Technology Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required ...

The AI Developer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large datasets

AI Developer

Washington, DC · On-site

$110K - $115K/yr

The AI Developer will be responsible for: * Designing and developing AI models, algorithms, and applications to solve specific problems * Collaborating to preprocess and analyze large datasets

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Ai Developer information

See salary details

$40K

$129.3K

$158.5K

How much do ai developer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for ai developer in the United States is $129,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $157,000.00 per year, depending on experience, location, and employer.

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

To thrive as an AI Developer, you need a solid understanding of machine learning algorithms, programming languages such as Python or Java, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms, and certifications in AI or data science are common requirements. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are essential for designing accurate, efficient AI models and collaborating successfully across interdisciplinary teams.

What does an AI developer do?

An AI Developer designs, builds, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data science technologies to develop applications such as chatbots, recommendation systems, or automation tools. AI Developers often use programming languages like Python and frameworks like TensorFlow or PyTorch. Their role involves training models, optimizing performance, and deploying AI solutions in real-world environments.

What cities are hiring for Ai Developer jobs? Cities with the most Ai Developer job openings:
What are the most commonly searched types of Ai Developer jobs? The most popular types of Ai Developer jobs are:
What states have the most Ai Developer jobs? States with the most job openings for Ai Developer jobs include:
Infographic showing various Ai Developer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $129,348 per year, or $62.2 per hour.

AI Developer

Tror AI for everyone

Mettawa, IL • On-site

$80/hr

Contractor

Re-posted 19 hours ago


Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Rate: $80/hr on C2C

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG) systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Key Responsibilities

  • Architect and Implement AI Systems: Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation: Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization: Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development: Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration: Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices: Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI. 

 

Required Skills & Qualifications

  • Experience: 7+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency: Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise: Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge: Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure: Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving: Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education: Bachelor's or master’s degree in computer science, Data Science, Engineering, or a related technical field.