C-Serv

About the Company

The key to success? The right people, structures and strategies to drive innovation and growth.

At C-Serv, we go beyond consulting—we partner with our clients to create solutions that drive meaningful impact. Since 2013, we’ve worked with over 100 companies across 25+ countries—from high-growth startups to billion-dollar enterprises—strategically aligning people, processes, and technology to deliver high-impact teams, cost savings and accelerated revenue growth. Whether scaling locally or expanding globally, we provide the expertise and resources to help you thrive.

What We Do:

Global Expansion & Workforce Management
Expanding Globally? Navigating international hiring can be complex. Our expertise ensures seamless access to the right people, wherever you operate, while staying compliant with local regulations. From market entry to scaling teams across borders, we provide the guidance and talent you need to grow with confidence.

Workforce Consulting & Organizational Design
Aligning talent with business strategy is key to unlocking potential. We partner with you to design scalable, future-focused teams and structures that drive efficiency, adaptability, and innovation.

Strategic Talent Solutions
People are at the core of every successful strategy. We go beyond traditional recruitment by creating bespoke hiring frameworks that identify professionals with the technical expertise and cultural fit to help your organization grow.

Our Philosophy:

We believe a company’s success starts with its people. Our mission is to empower tech organizations with the talent, structures, and strategies they need to transform and thrive. By prioritizing partnerships and fostering inspired, adaptable teams, we help businesses create lasting impact and meaningful progress.

Let’s Build the Future Together

Whether you’re scaling a team, expanding globally, or rethinking your organizational structure, we’re here to help. Send us a DM and we can book a call!

Listed Jobs

Company Name

C-Serv

Job Title

AI Risk & Responsible AI Specialist

Job Description

Job Title: AI Risk & Responsible AI Specialist Role Summary: Lead the design and implementation of comprehensive evaluation frameworks to assess safety, bias, robustness, explainability, and data governance of enterprise-scale AI products. Align assessments with NIST AI RMF, ISO 27701, and ISO 27001/SOC 2 standards, translating technical findings into business‑impact documentation and executive presentations. Expectations: Deliver measurable risk metrics, develop and operationalize testing methodologies, and partner with product, engineering, and governance teams to embed risk mitigation into AI lifecycle. Maintain expertise in model evaluation, privacy‑by‑design, and enterprise security frameworks. Key Responsibilities: • Design and implement model evaluation frameworks for AI products. • Develop and run bias/fairness, hallucination, reliability, robustness, and safety benchmarks. • Evaluate training data governance and RAG system retrieval accuracy. • Establish and track risk metrics across AI deployments. • Ensure alignment with NIST AI RMF, ISO 27701, ISO 27001, and SOC 2 guidelines. • Produce structured executive‑ready documentation and present findings. • Collaborate with product and engineering teams to integrate risk mitigation into AI development. Required Skills: • Deep experience designing model evaluation frameworks for large‑scale AI systems. • Proficiency in bias detection, hallucination testing, reliability measurement, and LLM stress‑testing. • Strong Python programming and data‑science experimentation skills. • Knowledge of NIST AI Risk Management Framework and ISO 27701 privacy requirements. • Familiarity with ISO 27001/SOC 2 operating environments. • Ability to translate technical risk into business impact and communicate to executive audiences. • Structured, analytical mindset with systems‑thinking and independent decision‑making. Required Education & Certifications: • Bachelor’s (or higher) degree in Computer Science, Data Science, Information Security, or related field. • Certifications in AI/ML security (e.g., NIST AI RMF certification) or relevant privacy/IT security (ISO 27001 Lead Auditor, SOC 2 Practitioner) preferred.

Portland, United states

Hybrid

23-02-2026

Company Name

C-Serv

Job Title

Adversarial Machine Learning Engineer

Job Description

**Job Title** Adversarial Machine Learning Engineer **Role Summary** Design, execute, and automate adversarial attacks on LLM‑driven AI systems to identify security weaknesses, evaluate guardrails, and support remediation before enterprise deployment. **Expectations** * Think like an attacker; identify non‑obvious vulnerabilities in large language models and supporting infrastructure. * Develop and maintain custom tooling for attack simulations. * Work cross‑functionally with engineering teams to validate fixes and document findings. * Operate effectively in ambiguous environments, delivering clear, concise reports. **Key Responsibilities** * Conduct prompt injection, jailbreak, guardrail bypass, data exfiltration, model inversion, evasion, and RAG manipulation tests. * Analyze API, embedding pipelines, vector databases, and fine‑tuned model implementations for systemic weaknesses. * Build and maintain scripts and frameworks to automate attack scenarios. * Collaborate with product and security teams to validate remediation efforts. * Document test methodologies, findings, and remediation recommendations in a structured format. **Required Skills** * Extensive experience in adversarial machine learning or AI security research. * Proficient with LLM platforms (OpenAI, Anthropic, open‑source models). * Deep knowledge of prompt injection, jailbreak techniques, and AI exploitation vectors. * Advanced Python programming; experience building custom attack tooling or experimentation frameworks. * Familiarity with RAG architectures, vector databases, model fine‑tuning workflows, and API‑based model deployments. * Understanding of model safety mechanisms, guardrails, and OWASP LLM Top 10 (preferred). * Strong analytical, problem‑solving, and documentation abilities. **Required Education & Certifications** * Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Machine Learning, or related field. * Certifications in cybersecurity (e.g., CISSP, CEH) or AI/ML security (preferred but not mandatory).

Vancouver, Canada

On site

23-02-2026