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Agent Based Modeling Scientist Jobs in Georgia (NOW HIRING)

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

... agent-based applications. Responsibilities : • Co-architect and co-build production AI agents ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

Quantify model performance: precision, recall, calibration, inter-rater agreement against human ... Partner with engineering to design prompt experiments, agent variants, and structured-output schema ...

Head of Enterprise Architecture

Atlanta, GA · On-site

$66.25 - $85.50/hr

Lead adoption of LLMs, agent-based architectures, and AI-enabled engineering Technical Leadership ... TPA/MGA models a plus) * Claims experience strongly preferred * Expertise in Azure, .NET, cloud ...

Head of Enterprise Architecture

Atlanta, GA · On-site

$66.25 - $85.50/hr

Lead adoption of LLMs, agent-based architectures, and AI-enabled engineering Technical Leadership ... TPA/MGA models a plus) * Claims experience strongly preferred * Expertise in Azure, .NET, cloud ...

Senior AI Engineer

Atlanta, GA · On-site

$120 - $160/hr

Select and evaluate models (hosted vs open-source) based on use case constraints * Agent-Based Systems (AgentCore) * Design and build agentic workflows capable of multi-step reasoning and decision ...

New

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Select and evaluate models (hosted vs open-source) based on use case constraints * Agent-Based Systems (AgentCore) * Design and build agentic workflows capable of multi-step reasoning and decision ...

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

The ideal candidates will have strong hands-on experience in Python, MCP-based systems, and working with large language models in multi-agent environments. Key Responsibilities * Design and develop ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the ... Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or ...

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the ... Integrate AI agents with enterprise systems, APIs, Model Context Protocols (MCP), and internal or ...

... agent-based applications such as conversational agents, research agents, and multi-step workflows ... model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of ...

Design and evaluate AI agents, multi-agent systems, orchestration frameworks, tool-use ... based systems. * Assess emerging model architectures and determine their applicability within a ...

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Proven experience in AI/ML pipelines - data preprocessing, model training, fine-tuning, and ... Familiarity with Graph databases (Neo4j) or agent-based architectures. * Architect and code in ...

Showing results 21-40

Agent Based Modeling Scientist information

What is the difference between Agent Based Modeling Scientist vs Data Scientist?

AspectAgent Based Modeling ScientistData Scientist
Required CredentialsMaster's or PhD in computer science, mathematics, or related fields; experience with modeling and simulationDegree in statistics, computer science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentResearch labs, academia, or industry focused on simulation and modeling projectsBusiness, tech companies, or consulting firms analyzing large datasets
Industry UsageResearch, simulation, complex systems modelingData analysis, predictive modeling, business insights

While both roles require strong analytical skills and programming knowledge, an Agent Based Modeling Scientist specializes in creating simulations of autonomous agents within complex systems, whereas a Data Scientist focuses on analyzing and interpreting large datasets to inform business decisions.

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

To thrive as an Agent Based Modeling Scientist, you need expertise in computational modeling, systems theory, and a strong background in mathematics or related fields, often supported by an advanced degree. Proficiency with programming languages such as Python, Java, or NetLogo and familiarity with simulation software are typically required. Analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are valuable soft skills in this role. These skills are crucial for accurately developing, interpreting, and conveying insights from agent-based models to inform research or decision-making.

How does an agent based modeling scientist typically collaborate with interdisciplinary teams during a project?

Agent Based Modeling Scientists often work closely with experts from fields such as economics, epidemiology, engineering, and computer science to ensure that models accurately reflect real-world systems. Collaboration usually involves regular meetings to define system parameters, validate model assumptions, and interpret simulation results. Effective communication is essential, as team members may not always be familiar with agent-based modeling concepts. Sharing insights and translating technical findings for broader audiences helps ensure models are both robust and actionable for decision-makers.

What is an agent based modeling scientist?

An Agent Based Modeling (ABM) Scientist is a researcher or professional who develops computational models that simulate the actions and interactions of autonomous agents (such as individuals, groups, or entities) to study complex systems. These scientists use ABM techniques to analyze how the behavior of individual agents leads to collective outcomes, often in fields like biology, economics, social sciences, and epidemiology. Their work involves designing models, running simulations, and interpreting data to gain insights into system dynamics and emergent phenomena.
What are popular job titles related to Agent Based Modeling Scientist jobs in Georgia? For Agent Based Modeling Scientist jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling Scientist jobs in Georgia look for? The top searched job categories for Agent Based Modeling Scientist jobs in Georgia are:
What cities in Georgia are hiring for Agent Based Modeling Scientist jobs? Cities in Georgia with the most Agent Based Modeling Scientist job openings:

Deployed Engineer (Southeast)

LangChain

Atlanta, GA • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
LangChain is a company focused on making intelligent agents ubiquitous, providing tools for building and deploying AI agents. The Deployed Engineer will work closely with customer engineering teams to co-architect and build production AI agents, ensuring successful deployment and operation of agent-based applications.
Responsibilities:
• Co-architect and co-build production AI agents with customer engineering teams
• Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
• Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
• Advise customers post-sale on architecture, best practices, and roadmap-level decisions
• Run technical demos, trainings, and workshops for developer audiences
• Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
• Occasionally contribute code upstream when it meaningfully improves customer outcomes
Qualifications:
Required:
• 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
• Strong Python, JavaScript and systems fundamentals
• Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
• Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
• Can explain technical tradeoffs clearly and build trust with developer audiences
• Take responsibility for outcomes, not just recommendations
• Have a bias toward action and enjoy figuring things out as you go
• Are excited about operating AI agents in production, not just building demos
Preferred:
• You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
• Worked with LLM evaluation, observability, or guardrails
• Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
• Have shipped and operated production software and are comfortable owning systems under real-world constraints
Company:
LangChain is a platform that provides open-source frameworks and tools for engineering and deploying language model agents. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.