AI Agent Engineer (RAG & Autonomous Systems)

Job Title: AI Agent Engineer (RAG & Autonomous Systems) Location: Hybrid (Onsite + Remote) Job Type: Contract Contract Duration: Approx. 4 months (with potential for extension) Job Summary: We are seeking a highly skilled AI Agent Engineer to design, develop, and deploy advanced AI-driven agentic solutions. This role focuses on building autonomous workflows and Retrieval-Augmented Generation (RAG) systems to enhance business productivity, automate processes, and support intelligent decision-making. The ideal candidate will have strong experience in LLM integrations, context engineering, and implementing scalable, secure AI systems with a focus on governance, safety, and cost efficiency. Key Responsibilities: • Design and develop AI-powered autonomous agents and multi-agent systems • Build and optimize RAG architectures using vector databases • Integrate Large Language Models (LLMs) via APIs (OpenAI, Hugging Face, Azure AI, etc.) • Develop and manage agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, or AutoGPT • Implement context engineering strategies to improve model performance and accuracy • Apply AI governance, guardrails, and content filtering to ensure safe and compliant outputs • Extend and implement Model Context Protocol (MCP) for secure data access • Optimize LLM performance, token usage, and cost efficiency • Ensure secure handling of sensitive data (PII/PHI) • Collaborate with cross-functional teams to deploy scalable enterprise AI solutions Required Qualifications: • 4+ years of experience in AI/ML engineering or advanced data science • Proven experience building and deploying production-grade autonomous agents • Strong expertise in context engineering • Hands-on experience with LangChain, LangGraph, CrewAI, or AutoGPT • Experience implementing RAG architectures with vector databases • Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) • Experience integrating LLMs via APIs • Knowledge of AI governance, model lifecycle management, and evaluation • Experience implementing AI guardrails and safety controls • Strong understanding of data privacy and sensitive data handling Preferred Qualifications: • Experience building multi-agent systems or advanced autonomous workflows • Experience optimizing LLM cost, latency, and token usage • Familiarity with enterprise-scale AI deployment and scalability patterns PriceSenz is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, or disability.