Jobs in the United States

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lhh

Security Engineer

Georgia, GA, United States

$45 to $50 USD / hour

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Job details

Pay: $45 to $50 USD / hour
Apply by: Dec 9, 2026
Experience: 6+ years of professional software engineering experience, including at least 2+ years focused on AI/ML engineering, generative AI, or intelligent agent development.
Posting language: English
Posted: Nov 9, 2026

Original job description

LHH is actively seeking a Security Engineer for one of our top clients! This will be 100% remote long term contract opportunity with our client. Cyber Security Organization Position Overview We are seeking an experienced Generative AI / Machine Learning Engineer to design, develop, and support innovative AI capabilities that advance the mission of our Cyber Security Organization (CSO). This role will focus on leveraging generative AI, large language models (LLMs), and intelligent agent technologies to enhance the effectiveness of our existing cybersecurity teams, empower employees, expand organizational capabilities, and streamline complex workflows. The successful candidate will play a key role in designing and developing the AI agent framework that will serve as a foundation for intelligent automation, knowledge discovery, decision support, and operational efficiency across the security organization. This is an opportunity to help shape how emerging AI technologies are applied within an enterprise cybersecurity environment, translating innovative concepts into secure, scalable, and practical solutions.

Key Responsibilities

Design, develop, and optimize autonomous and semi-autonomous AI agents leveraging large language models (LLMs), retrieval-augmented generation (RAG), and tool-enabled frameworks.
Architect and implement agent capabilities, including planning, memory management, reflection, reasoning, and contextual awareness across multiple workflows and sessions.
Evaluate, select, and integrate emerging AI agent frameworks and technologies, such as LangGraph, CrewAI, AutoGen, and ReAct-based architectures.
Develop secure, scalable, and efficient integrations between AI agents and enterprise systems, including APIs, databases, and other internal tools and services.
Build AI-powered solutions and internal tooling that support research, information retrieval, summarization, decision-making, and workflow automation.
Partner with machine learning scientists and other technical teams to fine-tune, optimize, or distill models for specialized enterprise and cybersecurity use cases.
Collaborate with product, infrastructure, and cybersecurity teams to deploy, operationalize, and scale AI-driven services within an enterprise environment.
Establish and implement best practices for responsible AI development, including security controls, safety guardrails, model monitoring, and agent behavior evaluation.
Participate in architectural discussions, code reviews, and technical design decisions while contributing to the long-term AI technology roadmap.
Mentor and support other engineers, fostering technical excellence and knowledge sharing across the team.

Required Qualifications

6+ years of professional software engineering experience, including at least 2+ years focused on AI/ML engineering, generative AI, or intelligent agent development.
Strong programming proficiency in Python and experience with AI/ML frameworks and technologies such as LangChain, Hugging Face, PyTorch, Transformers, and OpenAI APIs.
Strong understanding of modern large language models, prompt engineering, and advanced reasoning approaches, including Chain-of-Thought (CoT), Tree-of-Thoughts (ToT), and ReAct.
Demonstrated experience designing and building complex AI workflows involving agent memory, state management, external tools, and human-in-the-loop controls.
Experience with backend development, distributed systems, and workflow orchestration technologies such as FastAPI, Airflow, Ray, and Kubernetes.
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures, including technologies such as Pinecone, FAISS, and Weaviate.
Understanding of AI safety, responsible AI practices, hallucination mitigation, and monitoring and evaluation of AI-powered systems.
Ability to translate emerging AI technologies into practical, scalable solutions that address complex business and operational challenges.

Preferred Qualifications

Experience developing autonomous AI agents, multi-agent systems, or agent-based simulation environments.
Experience integrating AI solutions with enterprise applications, APIs, and systems operating in secure or sensitive data environments.
Background in cognitive architectures, human-AI interaction, intelligent automation, or real-time decision-making systems.
Contributions to open-source AI frameworks, technical communities, or published AI/ML research.
Experience leading cross-functional technical initiatives, mentoring engineers, and influencing technical strategy and architecture.
Familiarity with cybersecurity operations, security engineering, or enterprise security environments is a plus.

What You'll Bring

A passion for exploring and applying emerging AI technologies to solve meaningful business and technical challenges.
An engineering mindset focused on building secure, reliable, scalable, and maintainable solutions.
The ability to balance innovation with responsible AI practices, particularly within an enterprise cybersecurity environment.
Strong collaboration and communication skills, with the ability to work across technical and business teams.
A forward-thinking approach to identifying opportunities where intelligent agents and generative AI can transform how security teams operate.

Pay Details: $45.00 to $50.00 per hour

Search managed by: Luke Payeur

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.

Equal Opportunity Employer/Veterans/Disabled

Military connected talent encouraged to apply

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

The California Fair Chance Act
Los Angeles City Fair Chance Ordinance
Los Angeles County Fair Chance Ordinance for Employers
San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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More about this job

Skills

Machine learning
Cybersecurity
Research
Decision making
Workflow
ML
Python
LangChain
Hugging Face
PyTorch
Back-end development
Apache Airflow
Kubernetes
Coaching
Collaboration
Communication skills

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