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Software Engineer Ai Model Training Jobs in Austin, TX

## Senior Software Engineer (AI Specialization)Applyremote type: Remotelocations: Austin, TX: Atlanta ... Connect agents to MCP (Model Context Protocol) servers that interact with various backend systems ...

Feedonomics has earned a strong reputation for a full-service model and powerful technology-all ... We are seeking a highly accountable, hands-on AI Lead Engineer to define and lead the architectural ...

Feedonomics has earned a strong reputation for a full-service model and powerful technology-all ... We are seeking a highly accountable, hands-on AI Lead Engineer to define and lead the architectural ...

AI Software Engineer

Austin, TX ยท On-site

$100 - $140/hr

They take raw models and turn them into scalable, efficient, and reliable software. They are the ... We adhere to these principles in all aspects of employment, including recruitment, hiring, training ...

AI Software Engineer

Austin, TX ยท On-site

$120 - $180/hr

Join Vancor AI as a AI Software Engineer ... You'll build reliable application code that connects products to models, agents, and data services.

They take raw models and turn them into scalable, efficient, and reliable software. They are the ... We adhere to these principles in all aspects of employment, including recruitment, hiring, training ...

Showing results 21-40

Software Engineer Ai Model Training information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

How much do software engineer ai model training jobs pay per year?

As of Aug 22, 2026, the average yearly pay for software engineer ai model training in Austin, TX is $146,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,500.00 per year, depending on experience, location, and employer.

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Austin, TX?

For Software Engineer Ai Model Training jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Austin, TX look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Austin, TX are:

What cities near Austin, TX are hiring for Software Engineer Ai Model Training jobs?

Cities near Austin, TX with the most Software Engineer Ai Model Training job openings:

Infographic showing various Software Engineer Ai Model Training job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $146,227 per year, or $70.3 per hour.

Senior Software Engineer (AI Agents)

BigCommerce Pty

Austin, TX โ€ข On-site

$116 - $195/hr

Other

Posted 17 days ago


Job description

## Senior Software Engineer (AI Specialization)Applyremote type: Remotelocations: Austin, TX: Atlanta, GAtime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR102781# **Welcome to the Agentic Commerce Era**## At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and weโ€™re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand whatโ€™s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you.BigCommerce is seeking a Senior Software Engineer (AI Specialization) to help us build powerful product experiences using intelligent AI agents. Youโ€™ll be at the forefront of defining how users interact with our products through natural language, by designing agent-based systems that unify and act on data from various Commerce products (BigCommerce, Makeswift, B2B and B2C) and partner systems.BigCommerce, part of the Commerce brand family, helps merchants increase sales at every stage of their growth. From small startups to mid-market businesses and large enterprises, we provide the leading e-commerce platform. Our customers can then concentrate on what's most important: growing their businesses. We enable our customers to build, innovate, and grow, collectively reshaping the e-commerce industry.At Makeswift we're on a mission to build the best tool for creative minds to bring their ideas to the world. The concept is simple: combine the experience of a buttery-smooth, elegant design tool with the infrastructure required to go to production.Instead of mocking up static images and prototypes, build production-ready websites out of live components. Growing team? Version control and real-time collaboration. Working with React engineers? Reuse their work by integrating existing components directly into Makeswift. Our vision is to open up our APIs and foster a component ecosystem that will bridge the gap between developers and designers.**What Youโ€™ll Do*** Design, build, and iterate on AI agents that interact with data across BigCommerce and partner ecosystems to drive automation* Connect agents to MCP (Model Context Protocol) servers that interact with various backend systems (APIs, Databases, etc) to surface their capabilities to the AI agents to drive powerful and intuitive user experiences* Build AI agents that can assist with store management actions, by interpreting user intent and calling necessary apiโ€™s.* Develop and integrate AI assistant features directly into the BigCommerce control panel to support natural language queries and actions.* Collaborate with product designers and NLP experts to deliver intuitive, useful, and delightful conversational experiences* Quickly build proof-of-concept solutions to validate relevant user stories* Contribute to internal tooling and frameworks that support LLM fine-tuning, prompt engineering, and safe action execution**Who Are You*** 5+ years of experience in backend or full-stack software development, ideally with a focus on AI/MCP/A2A systems* BS or higher degree in Computer Science or related technical field* Strong and proven programming skills in Go* Experience working with LLMs (OpenAI, Anthropic, etc.) and building agentic AI applications* Understanding of prompt engineering concepts* Deep understanding of RESTful APIs and data integration across systems* Excellent problem-solving skills and ability to work in a fast-paced, exploratory environment* Strong collaboration and communication skills in cross-functional teams.* Strong preference toward execution and delivery**Preferred:*** Experience with e-commerce platforms or SaaS product development* Background in conversational AI or natural language processing* Familiarity with prompt engineering and chaining tools (LangChain, Semantic Kernel, etc.)* Experience building in or for mobile environments (iOS/Android) is a plus* Previous work with rules-based systems, automation tools, or AI copilots**Work Where You Thrive**For candidates based in the Austin or Atlanta metro area, the position follows a hybrid work model with three days per week in the office, balancing focused individual work with meaningful in-person collaboration.#LI-REMOTE#LI-GC1**(Pay Transparency Range: $116,000.00 - $195,000.00)**# **Compensation Transparency**The national base salary range for this role is posted above in this job post.Final compensation will be determined based on factors such as relevant experience, skills, qualifications and geographic location. We also consider internal equity to help ensure fair and consistent pay practices across our teams.Where applicable, this role may also be eligible for variable compensation (such as bonus or commission), equity, and benefits in accordance with local policies. Details will be shared during the hiring process. We are committed to equitable and transparent pay practices that align to market data, internal equity, and individual contribution.# **Inclusion and Belonging**## At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive.We are committed to creating an inclusive and accessible hiring experience for all candidates. If you require accommodations or adjustments at any stage of the recruitment process, please let us know and we will work with you to meet your needs.Learn more about the Commerce team, culture and benefits at https://www.commerce.com/careers/ #J-18808-Ljbffr