AI Engineer Specialist

We are seeking a highly skilled and forward-thinking AI engineer to join our team. The ideal candidate will have expertise in designing, deploying, and operationalizing modern AI solutions using Generative AI, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) for intelligent multi-agent orchestration.

In this role, you'll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You'll work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols.

The successful candidate will be responsible for:

• Designing, developing, and deploying advanced AI systems leveraging LLMs, multi-modal models, and autonomous agent frameworks.
• Architecting and implementing Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
• Developing and managing context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
• Implementing context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
• Integrating AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
• Optimizing memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
• Leading AI agent orchestration initiatives using frameworks like LangChain, Semantic Kernel, CrewAI, or AutoGen, with MCP integration for context tracing and governance.

Required Skills and Qualifications:

• 3+ years of AI engineering experience, with direct expertise in:
• Generative AI (GenAI) frameworks (OpenAI, Hugging Face, Anthropic, Mistral)
• Agentic AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)
• Retrieval-Augmented Generation (RAG) system design and deployment
• Model Context Protocol (MCP) or structured context management solutions in multi-agent, multi-tool AI workflows
• Strong software engineering skills in Python, including AI/ML libraries like PyTorch, TensorFlow, Transformers, and RAG toolkits.
• Hands-on experience working with vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures.
• Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols.

Benefits:

• Nice modern offices with great facilities.
• Health Insurance.
• 24 days holidays plus national holidays.
• Life Insurance.

Diversity Statement:

We value diversity at our company and believe that everyone should have an equal opportunity to contribute and succeed. Everyone who applies with the qualifications will receive consideration for employment without regard to age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law.