123pracovat

Pracovní nabídka

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, focused on memory extraction, compactification, and context assembly.

You will build the LLM-powered capabilities that allow the platform to remember users across sessions: summarizing conversations, extracting durable facts and preferences, and assembling relevant context so that agents can deliver personalized, informed responses.

This is an LLM application engineering role. You will work within multi-agent pipelines, designing the extraction and retrieval logic that turns conversation history into structured, usable memory. Your work directly shapes how intelligent and personalized the platform feels to every user.

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 LLM-based memory capabilities: conversation summarization, cross-session context retrieval, and persistent user preference extraction.
• Design and implement extraction pipelines that identify durable facts and preferences from conversations.
• Build context assembly systems that provide agents with relevant user history and memory. 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 with semantic search, embeddings, and vector databases (e.g., Snowflake Cortex, Pinecone, Weaviate).
• Familiarity with LLM observability tools. Background in NLP, text summarization, or information extraction.
• Experience building systems that maintain user context or state over time.
• Familiarity with enterprise data systems (analytics APIs, data warehouses, SQL).

What We Offer

• 5 weeks of holidays + extra corporate days off
• Full time, permanent position offered in hybrid model (Prague or Ostrava office, 2 - 3 days office)
• Flexibility to work from home most of the week
• Sick days
• Certain flexibility to schedule your working hours
• Cafeteria system (use points on Flexipasses, pension/life insurance, or Multisport card)
• Meal allowance

Compensation Transparency

At IDC, we are committed to fair and equitable pay practices. Employees are compensated equitably for their work, aligned with their skills and experience. Salary and incentive structures are determined through a rigorous process that considers experience, education, certifications, role-specific requirements, internal equity, and verified U.S. market data from an independent third-party partner.

Equal Opportunity Employer

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify.