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Red Teaming Jobs in Decatur, GA (NOW HIRING)

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage. * Expose agents to production ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage. * Expose agents to production ...

Euna Solutions

AI Security Engineer

Atlanta, GA · On-site

Direct experience with LLM security, model red-teaming, or AI threat modeling * Hands-on work securing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, or similar frameworks) * Experience ...

Euna Solutions

AI Security Engineer

Atlanta, GA · Hybrid

Direct experience with LLM security, model red-teaming, or AI threat modeling * Hands-on work securing agentic AI systems (e.g., LangChain, AutoGen, CrewAI, or similar frameworks) * Experience ...

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Red Teaming information

What is red teaming?

Red Teaming is a cybersecurity practice where experts simulate real-world attacks on an organization's systems, networks, or processes to identify vulnerabilities and test defenses. Unlike traditional security testing, Red Teaming takes an adversarial approach, mimicking the tactics, techniques, and procedures of actual threat actors. The goal is to assess how well an organization can detect, respond to, and recover from sophisticated attacks, ultimately strengthening its overall security posture.

What are the key skills and qualifications needed to thrive as a red teamer?

To thrive as a Red Teamer, you need strong knowledge of cybersecurity principles, penetration testing, network protocols, and typically a degree in computer science or a related field. Familiarity with tools like Metasploit, Kali Linux, Burp Suite, and certifications such as OSCP or CEH are commonly required. Creative problem-solving, critical thinking, and effective communication are crucial soft skills that set exceptional Red Teamers apart. These competencies are essential to accurately simulate real-world cyber threats, identify vulnerabilities, and effectively communicate risks to improve organizational security.

How to get a job as a red teamer?

To become a red teamer, develop strong skills in cybersecurity, penetration testing, and scripting languages like Python or Bash. Obtain relevant certifications such as OSCP or CREST, gain experience with security tools like Kali Linux and Metasploit, and build a portfolio of simulated attack exercises to demonstrate your expertise.

Is red teaming in demand?

Red teaming is in high demand as organizations seek proactive cybersecurity measures to identify vulnerabilities. Professionals in this field with skills in penetration testing, threat simulation, and familiarity with tools like Kali Linux are increasingly sought after across various industries.

What are the typical challenges faced by professionals working in red teaming, and how can they overcome them?

Red Teaming professionals often encounter challenges such as staying updated with rapidly evolving security threats, gaining realistic access to target environments, and balancing creativity with ethical boundaries. Effective collaboration with Blue Teams and clear communication with stakeholders are essential for impactful assessments. To overcome these challenges, Red Teamers should engage in ongoing training, participate in security communities, and maintain a strong ethical framework while leveraging diverse technical skills and tools.

What are red teaming jobs?

Red teaming jobs involve simulating cyberattacks or security breaches to test an organization’s defenses. Professionals in these roles use skills in cybersecurity, penetration testing, and threat analysis to identify vulnerabilities and improve security measures, often working with tools like Kali Linux and adhering to ethical hacking standards.
What are popular job titles related to Red Teaming jobs in Decatur, GA? For Red Teaming jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Red Teaming jobs in Decatur, GA look for? The top searched job categories for Red Teaming jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Red Teaming jobs? Cities near Decatur, GA with the most Red Teaming job openings:
Red Teaming jobs near you
Infographic showing various Red Teaming job openings in Decatur, GA as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 68% In-person, and 32% Remote job distribution.

Senior Agentic (AI) Engineer

Worth AI

Atlanta, GA • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Worth AI is hiring a Senior Agentic AI Engineer to design and ship production agent systems that automate KYB, underwriting, and risk decisions on regulated financial data. You’ll own agents end-to-end architecture, retrieval, tools, evals, and production deployment and partner closely with our Chief AI Officer, applied scientists, and platform teams.

Responsibilities
  • Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
  • Architect agent graphs in LangGraph (or comparable — CrewAI, AutoGen, Claude Agent SDK) with explicit state, durable execution, retries, and safe fallbacks.
  • Build the retrieval layer powering our agents — chunking, hybrid search, reranking, and grounded citation.
  • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage.
  • Expose agents to production systems via well-typed tools and MCP servers. Treat tool surface area as a product.
  • Drive production MLOps: deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks for agent incidents.
  • Partner with security and compliance to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture — auditability and explainability built in, not bolted on.
  • Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
  • Technology Stack
    • Languages: Python, Node.js, TypeScript
    • Agent / LLM frameworks: LangGraph, LangChain, Claude Agent SDK, MCP, OpenAI SDK
    • Models: Anthropic Claude, OpenAI, open-weight where appropriate
    • Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis
    • Infra: AWS, Kubernetes (EKS), ArgoCD, Terraform
    • Evals & Observability: LangSmith / Langfuse / Braintrust-style tooling, DataDog

Requirements

  • 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems (not just notebooks or demos).
  • Hands-on experience with a modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that run, fail gracefully, and recover.
  • Strong RAG fundamentals chunking, embeddings, hybrid retrieval, reranking, grounding — and judgment about when RAG isn’t the right answer.
  • Real eval experience golden sets, offline and online evaluations, used to make ship/no-ship calls.
  • Production MLOps fluency: deployed LLM workloads under real latency, cost, and reliability constraints.
  • Strong Python; comfortable in TypeScript / Node.js.
  • Solid systems engineering instincts APIs, async patterns, queues, databases, distributed system failure modes.
  • Calibrated communicator; thrives in ambiguous, fast-moving environments.
  • Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML.
  • Experience building MCP servers or other structured tool interfaces for LLMs.
  • Background in classical ML (ranking, scoring, calibration).
  • Experience designing explainable / auditable AI workflows for regulated environments.
  • Open-source contributions to agent frameworks, eval tooling, or retrieval libraries.
  • AWS depth (EKS, MSK, RDS, S3, Lambda) and IaC with Terraform.
Success Metrics
  • Agent Quality: Measurable improvements in task success rate, grounding accuracy, and hallucination rate on our eval suites.
  • Production Reliability: Agents you own meet defined SLOs for latency (P90/P99), tool-call success, and cost per task.
  • Velocity: New agent capabilities go from prototype to production in weeks, without skipping evals or guardrails.
  • Risk Posture: Zero material incidents tied to prompt injection, PII leakage, or unsafe tool use on agents you own.
  • Force Multiplier: Patterns, tools, and eval scaffolding you build get adopted across engineering.

All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, in addition to orientation in Orlando.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Paid Time Off
  • 9 paid Holidays
  • Family Leave
  • Remote
  • Hybrid work (for Orlando Associates)
  • Free Food & Snacks (Orlando)
  • Wellness Resources