AI Engineer - Memory Retrieval

Overview About the Role & Team IDC is building the next generation of AI-powered intelligence platforms that transform how technology decisions get made. Our platform re-imagines the way decision-makers discover and interact with trusted research and data, and is foundational to IDC's future.We are looking for an AI/Agent Engineer to join the Memory / Living Intel Pod, with an emphasis on cross-conversational retrieval and semantic search over conversation history. This is a stretch and acceleration hire. You will build the retrieval systems that find relevant prior conversations and extracted facts, design embedding and indexing strategies for conversation-derived content, and optimize relevance ranking for memory retrieval.Your work ensures that when the platform remembers a user, it remembers the right things at the right time. The quality of memory retrieval directly determines how personalized and useful every AI-generated response feels What You’ll Do Build specialized agents within multi-agent pipelines designed for handling complex research problems, developing durable outputs, and taking action in external systems on the user's behalf Build retrieval systems that find relevant prior conversations and extracted facts across a user's history Design embedding and indexing strategies for conversation-derived content Build and optimize relevance ranking for memory retrieval Build LLM-based memory capabilities: conversation summarization, cross-session context retrieval, and persistent user preference extraction Instrument pipelines for observability, tracing, and quality monitoring Collaborate with evaluation engineers on quality measurement and improvement What You Bring 3+ years of experience building production Python systems Experience with LLM applications: agent orchestration, prompt engineering, RAG, or similar Hands-on experience with agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, or similar) Understanding of LLM reasoning patterns and common failure modes Proficiency with modern Python web frameworks Comfort working in a fast-moving team where priorities evolve Preferred Qualifications : Experience building semantic search and embedding pipelines Hands-on experience with vector databases (e.g., Snowflake Cortex, Pinecone, Weaviate) Background in information retrieval Experience with search relevance tuning and ranking optimization Familiarity with LLM observability tools Background in NLP, text summarization, or information extraction Why This Role Stands Out At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions. Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand. What We Offer Hybrid/remote work model (about 1-2 days in the office per month). A position in a highly professional and globally respected market research and advisory firm , where initiative leading to results is rewarded. Individualized Culture: An environment where you can explore new areas outside your specialty and stay engaged with work you enjoy. Equal Opportunity Employer IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify. #LI-SJ1 #LI-Hybrid #LI-Remote