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Java Ai Developer Jobs in Missouri City, TX (NOW HIRING)

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

... Developer to join our growing team. Role: AI Engineer Developer Location: Houston TX or US Remote ... Java, Go, or similar backend technologies. · Experience building APIs, workflow services ...

Varsity Tutors

Java Tutor

Pearland, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Varsity Tutors

Java Tutor

Missouri City, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Varsity Tutors

Java Tutor

Houston, TX · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of Java syntax, object-oriented programming principles, inheritance, polymorphism ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) * Monitor model performance ... Python (preferred), Java, or Scala * ML Frameworks: TensorFlow, PyTorch, Scikit-learn * AI/GenAI ...

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) * Monitor model performance ... Python (preferred), Java, or Scala * ML Frameworks: TensorFlow, PyTorch, Scikit-learn * AI/GenAI ...

Goldenpick Technologies LLC

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) * Monitor model performance ... Python (preferred), Java, or Scala * ML Frameworks: TensorFlow, PyTorch, Scikit-learn * AI/GenAI ...

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) * Monitor model performance ... Python (preferred), Java, or Scala * ML Frameworks: TensorFlow, PyTorch, Scikit-learn * AI/GenAI ...

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How much do java ai developer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for java ai developer in Missouri City, TX is $49.55, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $55.48 per hour, depending on experience, location, and employer.

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

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
What are popular job titles related to Java Ai Developer jobs in Missouri City, TX? For Java Ai Developer jobs in Missouri City, TX, the most frequently searched job titles are:
What cities near Missouri City, TX are hiring for Java Ai Developer jobs? Cities near Missouri City, TX with the most Java Ai Developer job openings:
Java Ai Developer jobs near you

AI Engineer Developer

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Re-posted 18 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 (6–8 years): Hands-on development, integrations, AI agent implementation, workflow automation, and GenAI application development.

This is a remote position.