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Ai Engineer Developer Jobs (NOW HIRING)

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

AI Engineer Developer Location: Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience Required: 6-8 Years Role Descriptions: Strong backend development ...

Aptino

AI Engineer / Developer

Santa Clara, CA · On-site

$133K - $160K/yr

Job Title AI Engineer / Developer Role Overview We are looking for an AI Data Engineer / Developer to design, build, and maintain scalable data pipelines and AI-ready data systems that power machine ...

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate: Market Key Responsibilities: • Design and build AI-powered proof-of-concepts and experimental tools using ...

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How much do ai engineer developer jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for ai engineer developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior AI engineer developers with extensive experience, advanced skills in machine learning, deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-demand industries or senior leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does an AI developer make?

An AI developer's salary varies based on experience, location, and skills, but typically ranges from $80,000 to $150,000 annually. Senior AI engineers with advanced expertise in machine learning, deep learning, and programming languages like Python or TensorFlow tend to earn higher salaries, especially in tech hubs or large companies.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as AI Director, Chief AI Officer, or senior machine learning executives, often found in large tech companies or finance firms. These positions require advanced expertise in AI development, leadership skills, and often involve overseeing large teams or strategic AI initiatives, with compensation including base salary, bonuses, and stock options.

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

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and improve AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists will also remain in demand to manage data insights and protect AI-driven systems. These roles involve complex problem-solving and adaptability that AI is less capable of replacing fully.
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Ai Engineer Developer jobs near you
Infographic showing various Ai Engineer Developer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

AI Engineer Developer

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Posted 14 days ago

Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Engineer Developer to join our growing team.
Role: AI Engineer Developer
Location: Houston TX or US Remote
Duration: 6-12 months
Skills: AI and Automation~AI Agents
Experience Required: 6-8 Years
Role Descriptions:
Strong backend development experience in Python, TypeScript, Node.js, Java, Go, or similar backend technologies.
Experience building APIs, workflow services, integrations, automation scripts, and event-driven applications.
Strong API integration skills including REST, GraphQL, webhooks, authentication, authorization, and scheduled automation jobs.
Hands-on experience with Slack apps, Slack bots, Slack APIs, or enterprise collaboration platform integrations.
Experience integrating with ticketing and workflow tools such as Jira, Zendesk, ServiceNow, Confluence, or similar systems.
Experience with orchestration frameworks, workflow engines, agent runtimes, or stateful task execution.
Hands-on experience building GenAI applications, AI agents, RAG workflows, tool-calling systems, or chatbot platforms.
Experience with LLM APIs and GenAI platforms such as OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI, Amazon Bedrock, Google Vertex AI, Databricks, or similar technologies.
Understanding of MCP concepts, tool registries, connector libraries, skill version management, and secure tool invocation.
Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails.
Understanding of identity and access management concepts such as Okta, SCIM, SSO, RBAC, ABAC, service accounts, secrets management, and enterprise governance requirements.
Ability to build secure, auditable, and reliable operational tooling for enterprise users.
Familiarity with logging, monitoring, tracing, metrics, dashboards, retries, error handling, operational observability, and incident troubleshooting.
Good knowledge of automated testing, CI/CD pipelines, deployment practices, release management, rollback strategies, and operational support processes.
Strong understanding of secure coding practices, data privacy, access controls, and enterprise governance standards.
Key Technical Skills:
Python, TypeScript, Node.js, Java, Go
AI Agents & GenAI Applications
RAG (Retrieval-Augmented Generation)
LLM APIs (OpenAI, Claude, Azure OpenAI, Bedrock, Vertex AI)
REST, GraphQL, Webhooks
Workflow Orchestration & Agent Runtimes
MCP (Model Context Protocol)
Function Calling & Structured Outputs
Prompt Engineering
Slack Apps/Bots Integration
Jira, Zendesk, ServiceNow, Confluence
IAM (Okta, SSO, RBAC, ABAC)
CI/CD, DevOps, Observability
Difference from the AI Architect Lead Role
AI Architect Lead (10+ years): Architecture, governance, platform strategy, leadership, enterprise AI solution design.
AI Engineer Developer (68 years): Hands-on development, integrations, AI agent implementation, workflow automation, and GenAI application development.

This is a remote position.