Prescient Security
Cybersecurity • Compliance • B2B
<Prescient Security> is a global cybersecurity and compliance firm that provides auditing, penetration testing, and assurance services to enterprises. The company helps organizations achieve and maintain certifications and regulatory compliance (SOC, ISO, HITRUST, FedRAMP, PCI, GDPR, CMMC, NIST and others) and offers security assessments across cloud, web, mobile, IoT, and network environments. With senior auditors across the U. S. , EMEA and APAC, Prescient Security focuses on combining practical offensive security expertise (pen tests, red/purple teaming, vulnerability scanning) with compliance-driven audits to simplify security and turn compliance into a strategic advantage for business customers.
AI Engineer – Agentic AI Developer
Job not on LinkedIn
November 9
Prescient Security
Cybersecurity • Compliance • B2B
<Prescient Security> is a global cybersecurity and compliance firm that provides auditing, penetration testing, and assurance services to enterprises. The company helps organizations achieve and maintain certifications and regulatory compliance (SOC, ISO, HITRUST, FedRAMP, PCI, GDPR, CMMC, NIST and others) and offers security assessments across cloud, web, mobile, IoT, and network environments. With senior auditors across the U. S. , EMEA and APAC, Prescient Security focuses on combining practical offensive security expertise (pen tests, red/purple teaming, vulnerability scanning) with compliance-driven audits to simplify security and turn compliance into a strategic advantage for business customers.
📋 Description
• Design, build, and deploy Agentic AI systems using LLM-based architectures (e.g., OpenAI, Anthropic, LangChain, LlamaIndex). • Develop agents capable of reasoning, tool-use, and autonomous task execution. • Integrate AI systems into existing applications and back-end infrastructure. • Fine-tune and evaluate large language models for domain-specific use cases. • Build pipelines for prompt orchestration, memory management, and task planning. • Collaborate with full-stack engineers, product managers, and data teams to deliver end-to-end AI solutions. • Stay ahead of emerging trends in agent frameworks, vector databases, and model evaluation.
🎯 Requirements
• 2–6 years of experience as an AI Engineer, ML Engineer, or Software Developer working with LLM-based systems. • Proven experience building agentic AI applications or multi-agent workflows. • Proficiency with Python, LangChain, LlamaIndex, and related frameworks. • Understanding of vector databases (Pinecone, Weaviate, FAISS, ChromaDB). • Experience integrating APIs (OpenAI, Anthropic Claude, HuggingFace, etc.). • Strong grounding in prompt engineering, RAG architectures, and model evaluation. • Familiarity with cloud services (AWS, GCP, or Azure) for scalable AI deployment. • Excellent analytical and problem-solving skills.
🏖️ Benefits
• Health insurance • Flexible work arrangements • Professional development • Remote work options
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