
AI Engineer – Agentic AI Systems
1 day ago
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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