1

Software Developer Ai Trainer Jobs in Texas (NOW HIRING)

Under direction, works collaboratively with industry experts, software developers, data specialists, project managers, and client stakeholders to design, build, and deliver AI-enabled software, data ...

Under direction, works collaboratively with industry experts, software developers, data specialists, project managers, and client stakeholders to design, build, and deliver AI-enabled software, data ...

We are looking for a Full Stack Developer - AI who reflects these values. This role is fully on ... Develop software across the full technology stack, from user-facing applications to low-level ...

Overview Kimley-Horn is looking for a Software Developer - Applied AI in our Dallas, Texas (TX) ... Tuition reimbursement and extensive internal training programs. * Family-Friendly Benefits: New ...

next page

Showing results 1-20

Software Developer Ai Trainer information

What is a Software Developer AI Trainer job?

A Software Developer AI Trainer is responsible for training, testing, and improving AI models by providing high-quality data, refining algorithms, and ensuring accurate outputs. They work closely with developers, data scientists, and machine learning engineers to enhance AI applications. This role involves analyzing model performance, labeling data, writing code for automation, and fine-tuning AI systems to improve accuracy and efficiency.

What types of projects do Software Developer AI Trainers typically work on?

Software Developer AI Trainers commonly work on projects involving the design, training, and optimization of AI models for tasks such as natural language processing, image recognition, or data analysis. They collaborate closely with software engineers, data scientists, and product teams to ensure that AI models are accurate, reliable, and efficient in real-world applications. Daily responsibilities might include curating and labeling datasets, evaluating model performance, and implementing feedback loops to refine results. This collaborative, project-driven environment provides opportunities to work on cutting-edge technology and directly impact product innovation and usability.

What are the key skills and qualifications needed to thrive in the Software Developer Ai Trainer position, and why are they important?

To thrive as a Software Developer AI Trainer, you need a solid background in programming (such as Python, Java, or C++), experience with machine learning concepts, and often a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch and data annotation tools is highly beneficial, and certifications in AI or data science can further strengthen your profile. Strong analytical thinking, communication skills, and a collaborative mindset set standout candidates apart in this role. These skills are essential for effectively developing, improving, and deploying AI models while working cross-functionally with engineers and data scientists.

What are the most commonly searched types of Software Developer Ai Trainer jobs in Texas? The most popular types of Software Developer Ai Trainer jobs in Texas are:
What job categories do people searching Software Developer Ai Trainer jobs in Texas look for? The top searched job categories for Software Developer Ai Trainer jobs in Texas are:
What cities in Texas are hiring for Software Developer Ai Trainer jobs? Cities in Texas with the most Software Developer Ai Trainer job openings:
Infographic showing various Software Developer Ai Trainer job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Software Developer(AI/ML)

Software Developer(AI/ML)

PROLIM Global Corporation

Austin, TX โ€ข On-site

Full-time

Posted 15 days ago


Job description

I. DESCRIPTION OF SERVICES
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
4
Required
experience in AI/ML engineering or advanced data science
4
Required
Proven track record of building and deploying production-grade autonomous agents.
4
Required
Strong experience in context engineering
4
Required
Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
4
Required
Experience implementing RAG architectures using vector databases
4
Required
Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
4
Required
Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
4
Required
Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls
4
Required
Understanding of data privacy and handling of sensitive data (PII/PHI)
2
Preferred
Experience building multi-agent or autonomous agentic workflows
2
Preferred
Experience optimizing LLM cost, token usage, and performance
2
Preferred
Familiarity with enterprise AI deployment patterns and scalability considerations
Solicitation Reference Number: 529601688
Customer/Dept: Texas Health and Human Services Commission
Hybrid - 3 days remote with 2 days (Tues & Wed) required to be onsite