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Agent Based Modeling Jobs in Austin, TX (NOW HIRING)

Senior AI Architect

Austin, TX · Remote

$132K - $180K/yr

Design and implement agent-based and multi-agent architectures to solve complex workflows and ... Experience working with large-scale language models and advanced AI architectures. * Familiarity ...

... models • Workflow Design & Automation o Design and implement end-to-end workflows aligned to ... with AI teams to operationalize agent-based automation within Jira workflows Required ...

Model integration (APIs, event-driven, batch/real-time) * Data access and governance * AI service ... AI/ML platforms, LLM APIs, or agent-based systems * Experience in multi-tenant SaaS architecture ...

Architect

Austin, TX · On-site +1

Model integration (APIs, event-driven, batch/real-time) * Data access and governance * AI service ... AI/ML platforms, LLM APIs, or agent-based systems * Experience in multi-tenant SaaS architecture ...

Monitor and improve model quality, latency, explainability, and safety * Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures Qualifications * 3-6 years of experience in ...

Solutions Architect (Austin)

Austin, TX · On-site

$62.50 - $82.25/hr

... agent-based applications. • Experience with state management patterns (short-term and long-term ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

The operating model is hub and spoke. You are the hub. Each ELT member assigns Builders from their ... The right candidate has personally built agent-based workflows using low-code and no-code ...

Agent-based systems (A2A) and orchestration frameworks * Emerging standards such as Model Context Protocol (MCP) * Proven track record of delivering systems that balance innovation with reliability ...

Agent-based systems (A2A) and orchestration frameworks * Emerging standards such as Model Context Protocol (MCP) * Proven track record of delivering systems that balance innovation with reliability ...

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Agent Based Modeling information

See Austin, TX salary details

$14

$29

$39

How much do agent based modeling jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for agent based modeling in Austin, TX is $29.88, according to ZipRecruiter salary data. Most workers in this role earn between $23.37 and $39.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Agent Based Modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an Agent Based Modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What is an Agent-Based Modeling job?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What are popular job titles related to Agent Based Modeling jobs in Austin, TX? For Agent Based Modeling jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Austin, TX look for? The top searched job categories for Agent Based Modeling jobs in Austin, TX are:
What cities near Austin, TX are hiring for Agent Based Modeling jobs? Cities near Austin, TX with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in Austin, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $62,151 per year, or $29.9 per hour.

AI Engineer - Agentic Systems & RAG

Lorven technologies

Austin, TX • On-site

$65 - $70/hr

Contractor

Re-posted 12 days ago


Job description

Job Title: AI Engineer – Agentic Systems & RAG

Location : Austin/Charlotte/NYC

Experience: 3–7 years

Industry: Technology / AI / Digital Platforms

Job Summary:

We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows, and platforms such as Cursor AI. The ideal candidate will have a strong developer mindset and expertise in integrating APIs and building intelligent systems that can reason, act, and interact across tools and data sources.

Key Responsibilities:

  • Design, develop, and optimize AI agents capable of reasoning, decision-making, and tool usage
  • Implement and fine-tune RAG pipelines for contextual knowledge integration
  • Develop, integrate, and manage agentic workflows across APIs, vector stores, and third-party tools
  • Leverage Cursor AI and similar platforms to prototype and deploy agent-based applications
  • Collaborate with product teams to implement AI-driven features with seamless developer experience
  • Build scalable APIs for model access, integration, and service orchestration
  • Stay updated with the latest in LLMs, agent orchestration frameworks, and AI tooling

Required Skills & Qualifications:

  • Strong programming skills in Python or equivalent (Go/Node.js is a plus)
  • Experience in developing autonomous agents and agentic workflows using frameworks like LangChain, AutoGen, or similar
  • Hands-on with Cursor AI for development, debugging, and agent orchestration
  • Experience building and consuming RESTful APIs
  • Proficiency in RAG architectures, including vector stores (e.g., FAISS, Pinecone, Weaviate), embedding models, and retrieval tuning
  • Experience with prompt engineering, tool calling, and multi-agent collaboration setups
  • Solid understanding of LLMs, their fine-tuning strategies, and evaluation frameworks

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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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