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Internship Agent Based Modeling Jobs in Texas (NOW HIRING)

... based AI agents capable of reasoning, planning, and task execution · Build and manage multi-agent ... and monitor AI models and agents in production · Implement CI/CD pipelines, logging, and ...

Build and support agent-based solutions that convert business requirements documents (BRDs ... Microsoft-based model access environments We are an Equal Opportunity Employer. All qualified ...

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Design and build LLM-powered applications, including agent-based workflows, multi-step RAG ... Evaluate and select models, implement routing strategies, and optimize for latency, cost, and ...

... based systems and a proven ability to design, implement, and deploy autonomous agents and ... Apply machine learning fundamentals for model training, evaluation, and deployment. Collaborate ...

Non-Functional AI Agent Based Testing : • Analyze cloud application architecture and workflows to ... Models (LLMs) and agentic AI frameworks (e.g., LangChain, Auto-GPT, Ollama + LLaMA2) is a plus. o ...

Lead AI Engineer

Irving, TX · On-site

$156K - $234K/yr

Architect advanced agent-based systems (perception, reasoning, planning, execution), integrating ... Nice to Have Advanced data science expertise (statistical modeling, experimentation). Demonstrated ...

Showing results 21-40

Internship Agent Based Modeling information

What is an internship in agent based modeling?

An Internship in Agent Based Modeling is a temporary position, typically for students or recent graduates, where you learn and assist in developing computational models that simulate the actions and interactions of autonomous agents. The role involves using programming and mathematical techniques to study complex systems in fields like economics, biology, or social sciences. Interns often work with simulation tools, analyze data, and contribute to research projects under the supervision of experienced modelers. This internship helps you gain practical experience in computational modeling and can enhance your understanding of how agent-based simulations are used to solve real-world problems.

What are the typical projects an intern in agent based modeling might work on, and how do they contribute to the team's goals?

As an intern in Agent-Based Modeling, you can expect to work on projects involving the simulation of complex systems, such as social networks, economic markets, or biological processes. Your tasks may include developing and testing models, analyzing simulation results, and assisting with data collection or visualization. These projects are integral to the team's research or product development goals, as your models help generate insights, validate hypotheses, and inform decision-making. Collaboration with data scientists, researchers, and software engineers is common, providing valuable exposure to interdisciplinary teamwork and real-world problem-solving.

What are the key skills and qualifications needed to thrive as an internship agent based modeling, and why are they important?

To thrive as an Internship Agent Based Modeling, you need a solid background in mathematics, computer science, or a related field, along with experience in modeling and simulation techniques. Familiarity with programming languages such as Python or Java, and tools like NetLogo, AnyLogic, or Repast, is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are standout soft skills. These skills and qualities are crucial for developing accurate models, interpreting simulation results, and collaborating effectively within research or development teams.

What is the difference between Internship Agent Based Modeling vs Internship Data Analyst?

AspectInternship Agent Based ModelingInternship Data Analyst
Required CredentialsRelevant coursework in modeling, programming, or simulation; sometimes a background in computer science or mathematicsDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentResearch labs, simulation environments, or industry settings focusing on modeling complex systemsBusiness, finance, healthcare, or tech companies analyzing data sets
Employer & Industry UsageUsed in research, government agencies, and industries requiring simulation of agent behaviorsCommon across various industries for decision-making and reporting

Internship Agent Based Modeling focuses on developing and analyzing simulation models of agents within complex systems, often requiring programming skills. In contrast, Internship Data Analysts primarily interpret and visualize data to support business decisions. Both roles involve data handling but differ in methods and application areas.

What are the most commonly searched types of Agent Based Modeling jobs in Texas?

The most popular types of Agent Based Modeling jobs in Texas are:

What are popular job titles related to Internship Agent Based Modeling jobs in Texas?

For Internship Agent Based Modeling jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Agent Based Modeling jobs in Texas look for?

The top searched job categories for Internship Agent Based Modeling jobs in Texas are:

What cities in Texas are hiring for Internship Agent Based Modeling jobs?

Cities in Texas with the most Internship Agent Based Modeling job openings:

Infographic showing various Internship Agent Based Modeling job openings in Texas as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Agentic AI Developer

Rivago infotech inc

Irving, TX • On-site

Other

Posted 8 days ago


Job description

Key Responsibilities

Agentic AI Development

  • Design and develop LLM-based AI agents capable of reasoning, planning, and task execution

·       Build and manage multi-agent orchestration workflows

·       Enable agents to interact with enterprise systems (APIs, databases, tools)

Java & Backend Engineering

·       Develop scalable backend applications using Java, Spring Boot, and Microservices

·       Build REST APIs to support AI-driven workflows and integrations

·       Ensure performance, scalability, and maintainability of services

Google Cloud Platform & GenAI Implementation

·       Develop AI solutions using Vertex AI, Gemini, BigQuery, Cloud Run, and Pub/Sub

·       Work with Vertex AI Agent Builder and Google ADK for agent development

LLM, RAG & Context Engineering

·       Implement Retrieval-Augmented Generation (RAG) pipelines

·       Build context-aware systems using vector search and embeddings

·       Optimize prompts and workflows for performance and cost

MLOps & Deployment

·       Deploy and monitor AI models and agents in production

·       Implement CI/CD pipelines, logging, and observability

·       Ensure reliability, safety, and guardrails for AI systems

Required Skills and Qualifications

Experience

·       3–7 years of software development experience

·       Strong hands on experience in Python

·       2+ years experience building and deploying real world agents in Production environment

·       Strong hands-on experience in Java backend development (4+ years exp)

·       Hands of experience in developing AI/ML or Generative AI projects

Core Technical Skills

·       Hands on experience on Google ADK, MCP servers, agent to agent communication, agent orchestration.

·       Java (4+), Spring Boot, Microservices

·       REST APIs and distributed systems design

·       Hands on experience on Python, LLMs, GenAI, and agent-based systems

·       Hands on experience with Google Cloud Platform services (Vertex AI preferred)