
Job Overview
Location
Remote Work( USA)
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
March 27, 2026
Full Job Description
đź“‹ Description
- • As an AI Engineer - Responsible AI at Centific Global Technologies Pte. Ltd., you will play a critical role in advancing the safety, security, and reliability of large language models (LLMs) and agentic AI systems at enterprise scale. This role sits at the intersection of cutting-edge AI research and production engineering, where you will translate pioneering work in adversarial robustness, jailbreak defense, and human-AI interaction into scalable, secure AI infrastructure that protects against emerging threats in generative AI.
- • You will own end-to-end projects from research conception through production deployment, directly contributing to Centific’s platform security guarantees while building systems that enable safe, trustworthy AI adoption across industries. Your work will help ensure that AI systems resist adversarial exploits, behave predictably under stress, and align with ethical and regulatory expectations in high-stakes environments.
- • Day to day, you will: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks including prompt injection, obfuscation, and narrative red teaming, deploying them as production-grade services; architect and deploy distributed safety evaluation pipelines capable of handling millions of requests with real-time monitoring, alerting, and incident response; design ETL pipelines for processing terabytes of safety-related data such as attack patterns, behavioral logs, and model outputs, building data lakes and feature stores for safety-focused machine learning systems; analyze and simulate human-AI interaction patterns at scale to uncover behavioral vulnerabilities, social engineering risks, and tradeoffs between over-defensive and permissive model responses; build production workflows for multi-agent safety including agent self-checks, regulatory compliance, and defense chains spanning perception, reasoning, and action; deploy safety models to production using containerized microservices, implement CI/CD pipelines for model updates, and manage model versioning and A/B testing infrastructure; create reproducible, automated evaluation protocols for safety, over-defensiveness, and adversarial resilience across diverse models with continuous integration.
- • You will tackle high-impact problems such as building and operating an automated red-teaming platform that continuously probes advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma) at scale with dashboards and alerting; implementing context-aware, multi-turn attack detection and guardrail mechanisms as low-latency services handling 10K+ requests per second; developing agentic architectures for autonomous self-check and self-correct with distributed orchestration and fault tolerance; and designing data infrastructure for collecting, storing, and analyzing petabyte-scale safety telemetry with streaming analytics.
- • Centific is a frontier AI data foundry that curates diverse, high-quality data using purpose-built technology platforms to empower the Magnificent Seven and enterprise clients with safe, scalable AI deployment. The company brings together over 150 PhDs and data scientists, more than 4,000 AI practitioners and engineers, and leverages an integrated solution ecosystem including industry-leading partnerships and 1.8 million vertical domain experts across 230+ markets to create contextual, multilingual, pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. Its zero-distance innovation™ solutions for GenAI can reduce costs by up to 80% and accelerate time-to-market by 50%.
- • The company’s mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers, helping them unlock significant business value through scalable, secure AI deployment while maintaining a competitive edge in their markets.
- • In this role, you will have the opportunity to publish research outcomes (with company approval) demonstrating novel contributions to AI safety; build well-documented, tested, and maintainable code with comprehensive CI/CD and monitoring; and construct infrastructure that scales reliably and enables rapid iteration on safety research across the team. You will collaborate with Principal Architects and senior researchers in AI safety and adversarial ML, benefiting from mentorship while balancing high-quality research rigor with mission-critical product velocity.
🎯 Requirements
- • Master’s degree in CS/EE/ML/Security or related field (Ph.D. preferred)
- • 2+ years of industry experience in applied ML/AI research or ML engineering
- • Strong Python and PyTorch/JAX skills with experience deploying ML models to production
- • Demonstrated experience in at least one of: LLM jailbreak attacks/defense, agentic AI safety, adversarial ML, or human-AI interaction vulnerabilities
- • Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure)
- • Track record of publications in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, ICML, EMNLP, IEEE S&P, etc.) or equivalent applied research impact
🏖️ Benefits
- • Real Impact: Your research ships directly, securing core features and AI infrastructure at scale
- • Research to Production: Bridge the gap between cutting-edge research and production systems
- • Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML
- • Velocity + Rigor: Balance high-quality research with mission-critical product focus
- • Competitive salary range of $150K - $160K
- • Equal-opportunity employer committed to diversity and inclusion
Skills & Technologies
About Centific Global Technologies Pte. Ltd.
Centific is a data-centric AI services company providing data collection, annotation, and model validation solutions to enterprises and technology vendors. It operates a global crowd platform that combines human intelligence with automation to prepare, curate, and test datasets for computer vision, NLP, and generative AI applications. The company supports full AI lifecycle needs, from training data to reinforcement learning and model safety, serving industries including retail, automotive, healthcare, and technology. Headquartered in Singapore, Centific maintains delivery centers across Asia, Europe, and North America.
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