AI System Design Specialist

We are seeking a skilled and innovative AI Engineer to join our team.

About Us

We are a leading technology company that provides cutting-edge solutions for businesses and governments. Our team of experts is dedicated to delivering high-quality products and services that meet the needs of our customers.

Your Role

We are looking for an experienced AI Engineer who can design, develop, and deploy advanced AI systems using Generative AI, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) for intelligent multi-agent orchestration.

You will work on building context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems.

Key Accountabilities

• Design, develop, and deploy advanced AI systems leveraging LLMs, multi-modal models, and autonomous agent frameworks.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
• Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity.
• Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains.
• Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution.
• Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows.
• Lead AI agent orchestration initiatives using frameworks like LangChain, Semantic Kernel, CrewAI, or AutoGen, with MCP integration for context tracing and governance.
• Stay ahead of emerging trends in multi-agent LLM ecosystems, autonomous reasoning frameworks, and context-aware AI protocol standards like MCP.

Requirements

• 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.
• Programming framework/language: Python, JS or Java.
• Vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures.
• Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of statistics, data structures, and algorithms.

Preferred Skills

• Experience integrating multi-modal models (text, image, audio, video) into agentic workflows.
• Familiarity with AI safety, observability, and context integrity management in distributed AI systems.
• Exposure to LLMOps pipelines, prompt optimization techniques, and AI agent performance tuning.
• Experience contributing to open-source AI orchestration frameworks or context management libraries.
• Understanding of AI alignment, ethical AI principles, and responsible AI design.
• Experience with Deep learning in NLP, computer vision, or reinforcement learning.

Benefits

• A competitive salary and benefits package.
• Ongoing training and development opportunities.
• The chance to work with a talented and supportive team.
• A dynamic and inclusive work environment.

What We Offer

We offer a range of benefits to support your career and well-being, including:

* A competitive salary and benefits package.

* Ongoing training and development opportunities.

* The chance to work with a talented and supportive team.

* A dynamic and inclusive work environment.