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Remote Full Stack Machine Learning Engineer Jobs in San Antonio, TX

Vericast

AI Engineer III

San Antonio, TX · On-site +1

$120K - $140K/yr

Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms * Proven ability to lead technical delivery and mentor engineers in a fast-paced ...

TEKsystems

Voice Administrator- B

San Antonio, TX · Remote

$45 - $60/hr

... engineering teams to ensure projects are completed accurately and on schedule. Skills ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

Booz Allen Hamilton, Inc.

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0243276 Location: San Antonio,TX,US Share job via: Share AI Developer The Opportunity: As an experienced AI engineer, you know that AI systems are critical to ...

TEKsystems

Voice Admin- A

San Antonio, TX · Remote

$40 - $52/hr

... remote position. Application Deadline This position is anticipated to close on Aug 3, 2026. About ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

New

Raft Company Website

Senior Engineer

San Antonio, TX · Remote

$150K - $170K/yr

Experience with securing and hardening Linux virtual machines and containers * Proven experience in ... Remote with a preference for candidates local to San Antonio, TX What we will offer you: * Highly ...

New

Rackspace

Site Reliability Engineer

Windcrest, TX · Remote

$51.50 - $68.25/hr

US REMOTE** **WORK FROM HOME** Rackspace Professional Services is helping customers solve business ... stacks so they autoheal and scale on demand. Help our customers rearchitect, refactor, and ...

Careers

Sr Electrical Engineer

San Antonio, TX · On-site +1

$97K - $126K/yr

Our core focus centers on developing tactical, human-machine interfaces and scaling the mass ... Own the full product development lifecycle from schematic capture to production release * Select ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in San Antonio, TX

Remote Full Stack Machine Learning Engineer information

See San Antonio, TX salary details

$40.1K

$121.6K

$171.8K

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

As of Aug 1, 2026, the average yearly pay for remote full stack machine learning engineer in San Antonio, TX is $121,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in San Antonio, TX? For Remote Full Stack Machine Learning Engineer jobs in San Antonio, TX, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in San Antonio, TX look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in San Antonio, TX are:
What cities near San Antonio, TX are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near San Antonio, TX with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you

AI Engineer III

Vericast

San Antonio, TX • On-site, Remote

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Vericast rating

7.5

Company rating: 7.5 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

19th of 50 rated marketing agency

Job description

Company Description
Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That's why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.
Job Description
The AI Engineer III is a senior hands-on technical role responsible for the hands-on development, delivery and support of Agentic AI applications across the enterprise. This individual will serve as the technical lead for a team of AI Engineers, setting engineering standards, collaborating in architecting agentic solutions, and ensuring AI systems are built reliably, securely, and in alignment with business objectives. The role partners closely with the VP Engineering and Data Strategy on execution strategy while owning day-to-day technical delivery and support.
Key Duties/Responsibilities
  • Serve as hands-on technical lead for the design, development, deployment and support of Agentic AI applications, including multi-agent workflows and orchestration (25%)
  • Hands-on technical coloration, code review, support and mentorship to AI Engineers and contractors on the team (15%)
  • Architect and implement RAG pipelines, vector search, embedding-based retrieval, and LLM integration patterns for production use cases (15%)
  • Design and build MCP Server integrations and tool-use frameworks to extend agentic application capabilities (10%)
  • Collaborate with the VP Engineering and Data Strategy and cross-functional stakeholders to translate AI strategy and roadmap into technical execution plans (10%)
  • Own selection and integration of AI frameworks and platforms, ensuring scalability, reliability, and security of deployed solutions (10%)
  • Establish and enforce engineering best practices, including CI/CD, testing, and responsible AI guardrails for agentic systems (10%)
  • Monitor emerging AI engineering trends, tools, and techniques and assess applicability to current initiatives (5%)

Qualifications
Education
  • Bachelor's Degree in a technical or numerical field (Required). Master's degree preferred.

Experience
  • 8+ years' experience designing and developing software applications and/or data engineering pipelines
  • 3+ years' experience leading or providing technical directions to engineers on application or AI/ML delivery teams
  • Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search, and LLM integration is required
  • Experience in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation is required
  • Experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark, or Hive preferred
  • Experience building financial services solutions in big data infrastructure preferred

Knowledge/Skills/Abilities
  • Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms
  • Proven ability to lead technical delivery and mentor engineers in a fast-paced environment
  • Strong communication and facilitation skills; able to translate business requirements into technical designs
  • Working understanding of AI ethics, data privacy, and regulatory considerations relevant to AI systems

Industry Certifications (Preferred)
  • AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Google Cloud Professional Machine Learning Engineer
  • NVIDIA AI/Deep Learning certification (e.g., NVIDIA Certified Associate: AI Infrastructure)
  • Databricks Machine Learning Associate

Additional Information
Salary range: $120,000 - $140,000 Annually
Applications will be accepted through August 25, 2026, after which the posting will be closed and no longer available for submissions.*
The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.
All team members are responsible for demonstrating the company's Core Values at all times and for using Performance Excellence principles to continuously improve effectiveness, efficiency, products, and services. This includes, but is not limited to, participating on improvement teams, recommending and implementing improvement ideas, and participating in training and other activities to keep up to date on processes, information, etc.
All team members are responsible for supporting and complying with internal and external audits, to include providing information, performing assigned tasks to ensure compliance, and preparing and maintaining evidence that key duties identified as internal controls have been performed.
All team members are responsible for supporting and complying with safety and security policies to promote a healthy working environment.
Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K matching andflexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
At Vericast, we don't just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at talentacquisition@vericast.com To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

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