
Chief AI Innovation Strategist
1 day ago
Artificial Intelligence Engineers play a pivotal role in developing and implementing cutting-edge AI solutions that drive innovation and growth.
As part of our team, you will design, deploy, and operationalize modern AI systems using Generative AI, Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
Key Responsibilities:
- Design, develop, and deploy AI systems integrating LLMs, multi-modal models, and autonomous agent frameworks.
- Architect and implement RAG pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval.
- Develop and manage context-aware AI agents leveraging MCP or equivalent structured context management mechanisms.
- 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.
- Optimize memory management, prompt engineering, and dynamic context windows for complex AI workflows.
- Lead AI agent orchestration initiatives using frameworks like LangChain, Semantic Kernel, CrewAI, or AutoGen.
Requirements:
- 3+ years of AI engineering experience with expertise in Generative AI, Agentic AI, RAG, and MCP.
- Strong software engineering skills in Python, including AI/ML libraries like PyTorch, TensorFlow, and Transformers.
- Hands-on experience working with vector databases 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 into agentic workflows.
- Familiarity with AI safety, observability, and context integrity management.
- Exposure to LLMOps pipelines, prompt optimization techniques, and AI agent performance tuning.
- Experience contributing to open-source AI orchestration frameworks or context management libraries.
By joining our team, you will have the opportunity to work on high-impact projects, collaborate with experienced professionals, and grow your skills and expertise in AI engineering.
Our company offers a dynamic and supportive work environment, with opportunities for professional development and career advancement.
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