1

Ai Coding Trainer Jobs in Texas (NOW HIRING)

Software Engineer III

Richardson, TX · On-site

$107K - $182K/yr

Proven track record of using AI coding agents on complex, real-world changes, with strong judgment ... training, experience, licensure, and certification, that could result at a level outside of these ...

Lead troubleshooting and root cause analysis, including for issues introduced by AI-generated code ... training, experience, licensure, and certification, that could result at a level outside of these ...

... coding agents, developer copilots, and AI-powered automation systems with strong guardrails ... Drive adoption through structured training, change management, and AI champion networks Hands-On ...

Lead troubleshooting and root cause analysis, including for issues introduced by AI-generated code ... training, experience, licensure, and certification, that could result at a level outside of these ...

Software Engineer III

Richardson, TX · On-site

$107K - $182K/yr

Lead troubleshooting and root cause analysis, including for issues introduced by AI-generated code ... training, experience, licensure, and certification, that could result at a level outside of these ...

... code, and contribute to knowledge management. • Leverage tools like SAS and R/Python to create ... training initiatives. • Contribute to thought leadership such as papers, innovative non-ML, ML ...

... code, and contribute to knowledge management. • Leverage tools like SAS and R/Python to create ... training initiatives. • Contribute to thought leadership such as papers, innovative non-ML, ML ...

... code, and contribute to knowledge management. • Leverage tools like SAS and R/Python to create ... training initiatives. • Contribute to thought leadership such as papers, innovative non-ML, ML ...

... code, and contribute to knowledge management. • Leverage tools like SAS and R/Python to create ... training initiatives. • Contribute to thought leadership such as papers, innovative non-ML, ML ...

... and AI-assisted code review into the development lifecycle. * Trains subject matter experts (SMEs) on AI-assisted development practices and creates related training and documentation materials.

New

Work agent-first - use AI coding assistants and autonomous coding agents as your default way to ... Continuous learning - access to Enthought's training programs in Python, machine learning, and ...

Showing results 41-60

Ai Coding Trainer information

What is an AI coding trainer?

An AI Coding Trainer is responsible for teaching and mentoring AI models in coding and software development. This role involves curating datasets, reviewing AI-generated code, and providing feedback to improve the model's accuracy and efficiency. AI Coding Trainers often work with large language models, ensuring they understand best coding practices, debugging techniques, and industry standards. Their goal is to enhance the AI's ability to assist programmers in writing, reviewing, and optimizing code.

What does an AI coding trainer do?

As an AI Coding Trainer, your typical day may involve preparing and delivering interactive lessons or workshops on AI programming concepts, designing practical coding exercises, and providing individualized feedback to learners. You may also collaborate with curriculum developers to keep course content current and industry-relevant, and work closely with students to help troubleshoot technical challenges. Regularly assessing learner progress and adapting instruction methods to accommodate diverse learning styles are key parts of the role. This position often requires a mix of independent work and teamwork within a supportive educational or corporate training environment.

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

To thrive as an AI Coding Trainer, you need a strong foundation in programming languages (such as Python), machine learning concepts, and experience teaching technical subjects, often backed by a degree in computer science or a related field. Hands-on familiarity with development environments, AI frameworks (like TensorFlow or PyTorch), and professional certifications in AI or data science are highly valued. Excellent communication, patience, and the ability to convey complex ideas clearly are essential soft skills for this role. These skills are important because they ensure trainers can effectively support learners, adapt to different skill levels, and stay current in a rapidly evolving field.

What are the most commonly searched types of Ai Coding Trainer jobs in Texas? The most popular types of Ai Coding Trainer jobs in Texas are:
What cities in Texas are hiring for Ai Coding Trainer jobs? Cities in Texas with the most Ai Coding Trainer job openings:
Infographic showing various Ai Coding Trainer job openings in Texas as of August 2026, with employment types broken down into 46% Full Time, 28% Part Time, and 26% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Lead Software Engineer - Ai Engineer

慨正橡扯

Plano, TX • On-site

$140 - $210/hr

Other

Medical, Retirement

Posted 6 days ago


Job description

JOB DESCRIPTION

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Automation & AI Solutions team, you will architect, design, and deliver scalable software products that combine cloud-native microservices, and generative AI/LLM capabilities. You will own key technical decisions, drive engineering best practices, and ensure solutions are secure, reliable, and production-ready.

Job responsibilities:
  • Design and develop creative full-stack software solutions using innovative approaches.
  • Lead the creation and implementation of AI-driven capabilities, including LLM-based services, orchestration, and integrations into business workflows.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Architect and deliver cloud-native microservices and APIs (REST/streaming), ensuring scalability, resilience, and strong security controls.
  • Identify and automate solutions for recurring operational issues to improve system stability and observability (logs/metrics/tracing).
  • Communicate project status clearly and manage priorities across multiple initiatives.
  • Collaborate within a Scrum team, participate in Agile ceremonies, and support a culture of diversity, opportunity, and inclusion.
  • Codes in Java, AWS ECS, EKS, and Postgres
  • Utilizes AI agents (CoPilot, Claude) to improve quality and delivery timelines
Required qualifications, capabilities, and skills
  • Formal training or certification in Software Engineering and 5+ years applied experience
  • Strong system design, application development, and operational stability skills in production environments.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
  • Influence product design, application functionality, and technical operations within the team and domain by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
  • Hands-on experience with Large Language Models (LLMs) and generative AI use cases (e.g., RAG, agents, prompt/tool orchestration, evaluation/guardrails).
  • Familiarity with AI/ML frameworks and ecosystems such as PyTorch, TensorFlow, scikit-learn, Hugging Face.
  • Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure).
  • Expertise in microservices, RESTful APIs, and data technologies (relational and/or NoSQL).
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Practical experience building cloud-native systems (event-driven architectures, streaming, service mesh, etc.).
Preferred qualifications, capabilities, and skills:
  • Cloud certification in AWS, GCP, or Azure.
  • Working knowledge of Python (for AI/ML integrations) a plus
  • Experience with multi region service deployments and zero downtime deployment
  • Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs
  • Strong communication skills and a proactive approach to continuous improvement.
  • Track record delivering scalable, reliable, and secure products from concept to launch.
  • Advanced Java proficiency (primary), plus working knowledge of Python (for AI/ML integrations) a plus.
ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQsfor more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

#J-18808-Ljbffr