AI Engineer – Agentic AI Systems

2 days ago


ClujNapoca metropolitan area Cluj, Romania KredosAi Full time

AI Engineer – Agentic AI Systems

Location & Requirements

  • Location:
    Cluj-Napoca / Kolozsvár (on-site/hybrid)
  • Language:
    Fluent English required
  • Note:
    This position requires candidates to be locally based in Cluj / Kolozsvár

About the Role

We are looking for an innovative AI Engineer
to architect and deploy cutting-edge agentic AI systems—autonomous, goal-driven agents that reason, plan, and execute complex tasks with minimal human oversight. You will work at the intersection of software engineering and advanced AI, building scalable multi-agent workflows that integrate seamlessly into enterprise ecosystems.

This is an opportunity to shape the future of autonomous AI systems, working with state-of-the-art LLMs and orchestration frameworks to solve real-world business challenges.

What You'll Do

Architect Agentic AI Systems

  • Design and build multi-agent frameworks leveraging patterns like ReAct loops, Planner-Executor, and tool-augmented reasoning
  • Develop autonomous reasoning modules powered by advanced LLMs (GPT-4/5, Claude, LLaMA)
  • Create goal-directed agents capable of dynamic decision-making and self-correction

Engineer Context & Memory Systems

  • Implement sophisticated context management strategies including dynamic injection, retrieval-augmented generation (RAG), and long-term memory architectures
  • Build safety guardrails and coherence mechanisms to ensure reliable agent behavior
  • Design prompt engineering pipelines optimized for multi-turn, complex task execution

Orchestrate Complex Workflows

  • Build end-to-end pipelines for multi-step task execution, tool integration, and iterative refinement
  • Develop coordination mechanisms for multi-agent collaboration and task delegation
  • Implement feedback loops and self-improvement mechanisms

Deploy Production-Ready Solutions

  • Integrate agents with enterprise APIs, databases, and third-party systems
  • Containerize and deploy using Docker/Kubernetes with robust CI/CD pipelines
  • Ensure secure, compliant, and fault-tolerant execution in production environments

Ensure Performance & Safety

  • Build comprehensive observability frameworks with tracing, logging, and performance monitoring
  • Implement ethical AI safeguards including human-in-the-loop checkpoints and bias detection
  • Optimize for scalability, latency, and resource efficiency across distributed systems

Required Qualifications

Technical Expertise

  • Strong Python proficiency
    with production-level code quality
  • Deep experience
    with agentic AI frameworks: LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar
  • Hands-on work
    with large language models (GPT-4/5, Claude, LLaMA) and fine-tuning techniques
  • Proven ability
    to implement RAG systems, embedding models, and vector search

AI & ML Fundamentals

  • Solid understanding of multi-agent orchestration patterns and coordination mechanisms
  • Expertise in prompt engineering, context window management, and token optimization
  • Knowledge of memory systems (semantic, episodic, procedural) and state management

Infrastructure & Data

  • Experience with vector databases (FAISS, Milvus, Pinecone, Weaviate)
  • Familiarity with embedding models and semantic search pipelines
  • Understanding of observability tools and telemetry systems

AI Safety & Ethics

  • Awareness of hallucination mitigation techniques and output validation strategies
  • Knowledge of compliance frameworks (GDPR, HIPAA, SOC 2) as they apply to AI systems
  • Commitment to responsible AI development practices

Preferred Qualifications

  • 5+ years
    of experience in AI/ML engineering roles
  • 2+ years
    specifically working with agentic AI, autonomous systems, or multi-agent frameworks
  • Production deployment experience
    in cloud environments (Azure, AWS, GCP)
  • Contributions to open-source AI projects or research publications
  • Experience with MLOps practices, model monitoring, and A/B testing frameworks
  • Background in reinforcement learning, planning algorithms, or cognitive architectures

Why Join Us?

Work on pioneering AI technology that pushes the boundaries of autonomous systems. You will collaborate with a talented team, tackle complex technical challenges, and have the opportunity to shape how enterprises leverage agentic AI for real-world impact.

To Apply:
Please submit your resume along with examples of agentic AI systems you have built or contributed to (GitHub repos, papers, or project descriptions welcome).



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