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Assistant Ai Agent Developer Jobs in Texas (NOW HIRING)

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 ... Portfolio or examples of shipped conversational experiences (IVR, voice assistants, chatbots, SMS ...

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 ... Portfolio or examples of shipped conversational experiences (IVR, voice assistants, chatbots, SMS ...

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 ...

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 ...

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 ...

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 ...

... agent performance. • Integrate AI agents with client data systems (Databricks, Snowflake) for ... to assist customers. Qualifications : Required : • 5-8+ years of combined experience in full ...

AI Native Software Engineer

Dallas, TX · On-site

$80 - $88.88/hr

The ideal candidate will have strong experience in AI agent engineering, AI platform integration, and cloud-native development and a proven ability to design, build, and deploy production-grade AI ...

... agent performance. • Integrate AI agents with client data systems (Databricks, Snowflake) for ... assist customers. Qualifications : Required : • 10+ years of combined experience in full-stack ...

Maverick Power is standing up a dedicated AI build team to make Quote-to-Cash dramatically faster ... As a GenAI Chat Developer, you'll build the conversational interface at the heart of this effort: a ...

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Showing results 21-40

Assistant Ai Agent Developer information

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

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an assistant AI agent developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an assistant AI agent developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.
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What are popular job titles related to Assistant Ai Agent Developer jobs in Texas? For Assistant Ai Agent Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Assistant Ai Agent Developer jobs in Texas look for? The top searched job categories for Assistant Ai Agent Developer jobs in Texas are:
What cities in Texas are hiring for Assistant Ai Agent Developer jobs? Cities in Texas with the most Assistant Ai Agent Developer job openings:
Infographic showing various Assistant Ai Agent Developer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Forward Deployed Engineer (Generative AI)

Tiger Analytics Inc.

Austin, TX • On-site, Remote

Full-time

Posted 23 days ago


Job description

Tiger Analytics is looking for experienced Forward Deployed 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 Deployed 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.