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Internship Ai Agent Developer Jobs in Texas (NOW HIRING)

They need to be technically very strong and have developed and run multi agent deployments. Client has more focus for hands-on experience in prompt engineering and AI agent build and deployment Is ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... or internship * AI/ML/LLM concepts or project experience * Eligible to work in the U.S. without ...

AI Agent Product Manager

Austin, TX · On-site

$110K - $160K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

AI Agent Product Manager

Austin, TX · On-site

$160K - $200K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Identify and validate high-impact AI agent use cases across business units. * Drive adoption and ... Partner with engineering, data science, security, and compliance to translate business needs into ...

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and -- critically -- the ...

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

... multi-agent orchestration workflows · Enable agents to interact with enterprise systems (APIs ... Vertex AI Agent Builder and Google ADK for agent development LLM, RAG & Context Engineering · ...

Future Secure AI is building innovative solutions in the AI space, seeking AI Engineers to develop ... Future Secure AI develops secure, bespoke AI Co-Workers and multi-agent systems for complex ...

Showing results 21-40

Internship Ai Agent Developer information

What does an internship AI agent developer do?

An Internship AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, such as chatbots or virtual assistants. These interns typically work with machine learning models, natural language processing, and programming languages like Python. Their tasks may include coding, data preparation, model training, and evaluating agent performance. The role provides hands-on experience under the supervision of experienced AI engineers, helping interns build practical skills in AI development.

What are the key skills and qualifications needed to thrive as an internship AI agent developer?

To thrive as an Internship AI Agent Developer, a strong foundation in programming (especially Python), machine learning concepts, and data analysis is essential, typically supported by coursework or relevant project experience. Familiarity with frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to AI development environments is highly valuable. Problem-solving skills, curiosity, and effective communication help interns stand out by enabling them to learn quickly and collaborate with teams. These abilities are crucial for contributing to innovative AI projects and efficiently adapting to a fast-paced, evolving technical environment.

What types of projects do internship AI agent developers typically work on?

Internship AI Agent Developers often work on practical projects such as building conversational bots, optimizing existing AI workflows, or developing small-scale machine learning models. These projects are designed to expose interns to real-world challenges, including data preprocessing, model evaluation, and team-based problem-solving. As part of a collaborative team, interns usually participate in code reviews, brainstorming sessions, and weekly stand-ups, offering many opportunities to learn from experienced developers and data scientists. This hands-on experience helps interns gain valuable technical and communication skills that are essential for a career in AI development.

What are the most commonly searched types of Ai Agent Developer jobs in Texas?

The most popular types of Ai Agent Developer jobs in Texas are:

What are popular job titles related to Internship Ai Agent Developer jobs in Texas?

For Internship Ai Agent Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Ai Agent Developer jobs in Texas look for?

The top searched job categories for Internship Ai Agent Developer jobs in Texas are:

What cities in Texas are hiring for Internship Ai Agent Developer jobs?

Cities in Texas with the most Internship Ai Agent Developer job openings:

Infographic showing various Internship Ai Agent Developer job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Forward Deployed Engineer (Generative AI)

Austin, TX • On-site, Remote

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees

Full-time

Re-posted 8 days ago


Job description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview
The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
Agentic Design & Implementation
• Develop intelligent agents using Vertex AI Agent Builder to automate complex
business workflows.
• Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems
that collaborate to solve end-to-end business challenges.
• Implement tools like MCP (Model Context Protocol) Toolbox to securely connect
agents to enterprise databases like BigQuery and Spanner.
AI on Data Strategy
• Utilize Vertex AI for model training, tuning, and deployment, ensuring seamless
integration with BigQuery for feature engineering.
• Build and optimize streaming data pipelines (e.g., via Dataflow) to execute
real-time inference using RunInference API or Vertex AI endpoints.
• Ground AI models in live business context using vector engines within BigQuery or
AlloyDB to eliminate "AI amnesia".
Operational Excellence (Soft Skills)
• Active Participation: Show up promptly for all internal and client-facing meetings.
• Transparent Communication: Provide regular, structured status updates to team
members and stakeholders regarding project milestones and technical blockers.
• Proactive Collaboration: Demonstrate the ability to ask for help when facing
technical hurdles and contribute to a collaborative troubleshooting environment.
• Consultative Approach: Navigate corporate environments to translate high-level
business goals into robust technical architectures.
Technical Qualifications
• Vertex AI Mastery: Proven experience with Model Garden, Vertex AI Pipelines, and
model evaluation.
• Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
engineering, and data preprocessing techniques (scaling, encoding, imputation).
• Cloud Infrastructure: Hands-on experience with Google Cloud Storage and Vertex
AI endpoints.
• Emerging Tech: Familiarity with stateful real-time processing and the latest
innovations in agentic architectures.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.