8+ years of experience in software development and solution architecture, with a proven record of delivering enterprise solutions
Deep understanding of Generative AI and large language models (LLMs)
Practical experience in prompt engineering and fine-tuning techniques
Hands-on experience with RAG frameworks: LangChain, Flowise, RAGflow
Expertise in deploying agentic and operator-based solutions using autonomous AI agents
Familiarity with indexing and semantic search technologies (e.g., Pinecone)
Expertise in building robust knowledge-base indexes for accurate information retrieval
Skills in creating and managing AI agents for automation, cognitive architectures, and autonomous operations
Understanding reinforcement learning and cognitive agent architectures
Knowledge of AI ethics, fairness, transparency, accountability, and responsible AI practices
Implementation of governance frameworks and ethical guidelines
Integrating AI seamlessly into existing operational workflows
Familiarity with FastAPI, Kubernetes, and DevSecOps/MLOps practices
Knowledge of semantic search, cognitive architectures, and reinforcement learning
Continuous learning mindset and proactive exploration of emerging AI technologies
Excellent stakeholder management and effective communication skills
Capability to translate complex AI concepts into actionable insights for technical and non-technical audiences
Excellent written and verbal communication skills in English (B2+ level)