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Associate Ai Agent Developer Jobs in Austin, TX (NOW HIRING)

... agent performance. • Integrate AI agents with client data systems (Databricks, Snowflake) for ... and other engineering disciplines to enable business success for customers. • Document best ...

... agent performance. • Integrate AI agents with client data systems (Databricks, Snowflake) for ... and other engineering disciplines to enable business success for customers. • Document best ...

About the Role We are hiring AI Engineers (Software) to help us build the product and platform. In ... Experience with agent orchestration applications * Proficiency in CICD, Kubernetes and ...

AI Engineer Location: Denver, CO (2-3 days onsite) Contract: 6-12 months Contract To Hire C2H Job ... This role involves maintaining the inventory of AI/agent solutions, tracking controls and evidence ...

AI Agent development and orchestration * Prompt engineering and evaluation frameworks * LLM observability and monitoring tools * MLOps, Kubernetes, Docker, CI/CD, and Infrastructure as Code

\n \n \n Job Title: AI Engineer Location: Denver, CO (2\-3 days onsite) Contract: 6\-12 months ... This role involves maintaining the inventory of AI\/agent solutions, tracking controls and evidence ...

Sr. AI Integration Engineer

Austin, TX · On-site

$103K - $138K/yr

AI Agent, Harness & Workflow Development: Design, develop, and maintain production-grade AI agents ... Engineering Standards: Contribute to codebases, deployment pipelines, support practices, and ...

This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them in the right context, integrating them with tools ...

Showing results 41-60

Associate Ai Agent Developer information

See Austin, TX salary details

$26.3K

$64.3K

$115.5K

How much do associate ai agent developer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for associate ai agent developer in Austin, TX is $64,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $80,800.00 per year, depending on experience, location, and employer.

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Austin, TX?

The most popular types of Ai Agent Developer jobs in Austin, TX are:

What are popular job titles related to Associate Ai Agent Developer jobs in Austin, TX?

For Associate Ai Agent Developer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Associate Ai Agent Developer jobs in Austin, TX look for?

The top searched job categories for Associate Ai Agent Developer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Associate Ai Agent Developer jobs?

Cities near Austin, TX with the most Associate Ai Agent Developer job openings:

Full-Stack Engineer

Datalinx AI

Austin, TX • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Datalinx AI is an AI Data Refinery that transforms messy consumer data into actionable insights for AI applications. As a Full-Stack Engineer, you will design, develop, and implement end-to-end data and AI solutions, ensuring the Datalinx product supports client business outcomes with secure and scalable integration.
Responsibilities:
• Design, develop, and maintain secure, scalable implementation of the Datalinx product.
• Build AI-driven agentic solutions using frameworks like LangGraph and/or Autogen, designing effective prompt engineering strategies for reliable agent performance.
• Integrate AI agents with client data systems (Databricks, Snowflake) for intelligent query and data retrieval.
• Develop tools that automate domain-specific ML model training processes (clustering, churn prediction, personalization, anomaly detection) to help create lift for our customer’s business.
• Ensure secure authentication, authorization, and data governance compliance across all data integration and AI solutions.
• Implement observability, monitoring, and continuous improvement for data pipelines and AI agent workflows.
• Collaborate closely with client teams and other engineering disciplines to enable business success for customers.
• Document best practices for deployment and usage of Datalinx to assist customers.
Qualifications:
Required:
• 5-8+ years of combined experience in full-stack development with specialization in machine learning, data engineering, and knowledge of agentic application design.
• Strong proficiency in Python, Golang and SQL, with hands-on experience using PostgreSQL.
• Expertise in building integrations to Databricks (REST APIs, Delta Lake operations) and Snowflake (connectors, Snowpark, query optimization).
• Experience with popular data engineering tools like dbt.
• Proficiency with LLMs and hands-on experience with AI agent frameworks (e.g., LangGraph, Autogen).
• Proficiency with machine learning libraries such as Scikit-learn, and expertise in unsupervised/supervised ML techniques for pattern recognition.
• Experience with enterprise data workflows, including handling both unstructured and structured datasets.
• Knowledge of data pipeline orchestration tools (e.g., Apache Airflow, Dagster, dbt).
• Familiarity with data governance, security, and best practices in cloud environments.
• Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
Company:
Datalinx AI provides a platform that cleans, transforms, enriches, and monitors data to enable accurate AI insights and automated workflows. Founded in 2025, the company is headquartered in New York, USA, with a team of 2-10 employees. The company is currently Early Stage.