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Junior Full Stack Machine Learning Engineer Jobs in Katy, TX

1 point system

Sr. Full-Stack

Houston, TX · On-site

NET Developer - Angular, (AI/Platform-leaning) Location- Houston, TX Contract W2 Requirements: * Strong Full Stack Engineering experience * Backend development in C#, .NET, or similar (less concerned ...

Addison Group

Full Stack Developer

Houston, TX · On-site

Gym membership, cell phone reimbursement, $100/month meal allowance Role Overview We are seeking a seasoned Full Stack Developer to support a mature enterprise application environment. This role ...

Medium

Senior Full Stack Software Engineer

Houston, TX · On-site

$172.20 - $206.64/hr

We are looking for an experienced Senior Full Stack Software Engineer to join our dynamic and growing team. In this role, you will play a pivotal part in designing, building, and maintaining scalable ...

Medical Metrics Inc

Full Stack Developer

Houston, TX · On-site

The Full Stack Developer is responsible for creation, maintenance, enhancement, and operational support for a complex web application and associated platform components (e.g., SQL Server Database ...

Deloitte

Cyber Full-Stack Software Engineer

Houston, TX · On-site

As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will ...

Socket.dev

Senior Full-Stack Engineer

Houston, TX · On-site

$135 - $155/hr

Nadia Care is looking for a Senior Full-Stack Engineer to join our mission‑driven engineering team. You will be a high-impact individual contributor responsible for building and scaling technical ...

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All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in Katy, TX

Junior Full Stack Machine Learning Engineer information

See Katy, TX salary details

$42.7K

$86.7K

$130.3K

How much do junior full stack machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for junior full stack machine learning engineer in Katy, TX is $86,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,600.00 per year, depending on experience, location, and employer.

What is the difference between Junior Full Stack Machine Learning Engineer vs Junior Data Scientist?

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Katy, TX? The most popular types of Full Stack Machine Learning Engineer jobs in Katy, TX are:
What are popular job titles related to Junior Full Stack Machine Learning Engineer jobs in Katy, TX? For Junior Full Stack Machine Learning Engineer jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Katy, TX look for? The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Katy, TX are:
What cities near Katy, TX are hiring for Junior Full Stack Machine Learning Engineer jobs? Cities near Katy, TX with the most Junior Full Stack Machine Learning Engineer job openings:
Junior Full Stack Machine Learning Engineer jobs near you
Infographic showing various Junior Full Stack Machine Learning Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $86,741 per year, or $41.7 per hour.

Senior Full Stack Developer (Agentic AI)

myDNA, Inc.

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Our Purpose
Our mission is to build a healthier and more connected world with precision health and genealogy services.
We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, FamilyTreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting-edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.
Our Values
All employees are expected to demonstrate our values of Innovate, One Team, and Integrity when carrying out the accountabilities and responsibilities of their role. This how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.
Position Overview
We are seeking a Senior Full Stack Developer (Agentic AI) to join our engineering team. In this hands-on senior role, you will be responsible for building, maintaining, and scaling production-grade full-stack applications that integrate agentic AI capabilities. You will leverage modern AI-assisted development tools to dramatically accelerate delivery and elevate code quality, while maintaining deep hands-on oversight to ensure our solutions remain reliable, maintainable, and implementable. Your focus will be on the practical implementation, stability, and state management of AI agents within our existing product ecosystem, ensuring they operate reliably in a regulated environment. This includes implementing robust guardrails, security protocols, and testing/auditing mechanisms to ensure safe and predictable AI agent behavior. As a senior individual contributor, you will own features from local development through to automated CI/CD deployment and infrastructure management.
Accountabilities and Responsibilities
  • Design, build, and maintain scalable, robust full-stack features using C#, .NET, and modern frontend frameworks (Angular or React).
  • Integrate agentic AI workflows into production, building reliable state management and execution patterns to ensure agent consistency across complex, multi-step tasks.
  • Write and tune complex SQL queries and design database schemas across MS SQL Server and PostgreSQL to support traditional and AI-driven features.
  • Manage and scale AWS cloud infrastructure using Infrastructure-as-Code (Terraform or CloudFormation), while maintaining automated CI/CD pipelines for rapid, compliant production deployments.
  • Implement comprehensive observability and monitoring for traditional application logic and agentic AI components to ensure system uptime, performance, and reliability.
  • Participate in peer code reviews, mentor junior team members, establish shared engineering standards, and drive continuous improvement in an iterative Agile/Scrum environment.

Position Requirements
Experience, Skills & Knowledge
  • 8+ years of professional software engineering experience with deep expertise in C#, .NET Core, and modern frontend frameworks (Angular/React).
  • Proven experience integrating AI models and agentic workflows into production applications, with a strong focus on building stable, predictable systems in regulated environments.
  • Production experience with AWS cloud infrastructure (Lambda, RDS, Bedrock) managed via Infrastructure-as-Code (Terraform/CloudFormation).
  • Strong testing discipline: unit, integration, and contract testing, plus the ability to build evaluation harnesses for AI features.
  • Excellent written and verbal communication; ability to explain technical and AI-related tradeoffs to non-technical, legal, and compliance stakeholders.
  • Mentorship & Collaboration: A desire to mentor junior team members and foster a collaborative engineering culture through effective peer code reviews.
  • Agile Proficiency: Comfortable working in an iterative, Agile/Scrum environment with a focus on delivering incremental value.
  • Learning Agility: A proactive learner who stays current with the rapidly evolving AI landscape and contributes to team knowledge sharing.
  • Problem-Solving: Exceptional analytical skills, with a track record of diagnosing and resolving complex, production-level performance and stability issues.

Compliance, Governance & Technologies
  • Demonstrated success in implementing safety guardrails, security protocols, and auditability for AI-driven features.
  • Proficiency in leveraging AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate delivery, improve code quality, and maintain high standards of reliability and maintainability.
  • Demonstrable experience delivering software within highly regulated, audit-ready environments (e.g., HIPAA, CAP/CLIA, or similar compliance frameworks).
  • Experience with AI orchestration patterns (e.g., RAG pipelines, agentic state management) and frameworks (e.g., LangChain, Semantic Kernel).
  • Experience implementing custom observability and evaluation patterns, such as leveraging OpenTelemetry for distributed tracing, monitoring model latency/hallucinations, and building automated validation harnesses.

Education
  • Bachelor's degree in Computer Science or related field.

Why Join Us
At Gene by Gene, you'll join a mission-driven team advancing the science of genetics and discovery. You'll have the opportunity to shape meaningful campaigns, tell compelling brand stories, and collaborate with talented professionals who share your passion for creativity, curiosity, and impact.
Comprehensive Benefits
  • Medical & Health Savings: Choice of 3 medical tiers generously sponsored by the company, with a monthly $50-$100 employer HSA contribution based on plan type and dependent level.
  • 100% Covered Dental & Vision: No premium costs for employees or dependents.
  • 401(k) Matching: Generous 50% company match up to 6% of annual base salary.
  • Diverse PTO Framework: Structured time off incorporating vacation, sick leave, mental health days, personal days, company holidays, and a flexible floating holiday.
  • Income Protection & Family Leave: Full company sponsorship of Short-Term and Long-Term Disability (STD/LTD) alongside Paid Family Leave offerings.

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