WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

AI Security Engineer

Experis
Tampa, FL, United States
22 days ago
Apply on www.experis.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.experis.com

Tech stack

Cloud Engineering Design of Telemetry/logging Agents System Availability Large Language Models Prompt Engineering Low Latency Machine Learning Operations Data Pipelines Software Library

Job description

  • Design and maintain agentic workflows that support multi-step reasoning and tool-use for autonomous cybersecurity use cases such as incident investigation and vulnerability prioritization.
  • Build advanced, high-precision prompt systems with version control, and programmatically optimize LLM outputs to enforce reliable security logic and automated remediation scripts.
  • Use and fine-tune machine learning models (e.g., Deep Learning, K-Means, SVM) to detect sophisticated attack patterns that can evade traditional signature-based defenses.
  • Integrate large language models (OpenAI, Anthropic, or open-source models) into production environments via APIs or local deployments.
  • Orchestrate data ingestion pipelines with a focus on vector databases, and re-engineer manual workflows using a machine-first approach for unstructured data., + Work on autonomous security engineering that meaningfully reduces manual overhead and improves decision-making.
  • Build production-grade AI security systems with guardrails, safety controls, and human-in-the-loop checkpoints where needed.
  • Collaborate on end-to-end AI security delivery, from agent design and prompt engineering to data pipelines and MLOps.
  • Apply your expertise across LLM integration, vector databases, and cloud-native deployment and monitoring.

  • Contribute to infrastructure that targets high availability, low latency, and cost-efficiency. Upon completion of waiting period consultants are eligible for:

  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account
  • Health Flexible Spending Account
  • Dependent Care Flexible Spending Account
  • Supplemental Life Insurance
  • Short Term and Long Term Disability Insurance
  • Business Travel Insurance
  • 401(k), Plus Match
  • Weekly Pay If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World’s Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Requirements

  • Hands-on experience with Python, including data ingestion and cleaning, and familiarity with machine learning libraries such as Scikit-Learn and PyTorch, plus system and web-based integrations.
  • Proficiency with AI agent frameworks such as LangChain, CrewAI, or AutoGPT for agent orchestration.
  • Hands-on experience using and tuning machine learning models for a range of cybersecurity use cases.
  • 3-4 years of hands-on experience with at least one cloud AI solution (AWS Bedrock/SageMaker or Azure AI).
  • Strong DevOps and integration skills including Docker, Kubernetes, Git, and deep experience with RESTful and GraphQL APIs to connect disparate systems.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.experis.com
Prepare application

Good distractions

Loading talks and stories from around this role…