AI Engineer, Technology Innovation Institute

Job Description

The AI Engineer position at Technology Innovation Institute (TII) requires the employee to create and implement advanced AI systems, which include Large Language Models,  Vision-Language Models and autonomous agent architectures. The scientist will use his research skills together with his engineering expertise to develop multimodal AI systems that are prepared for production while he works on developing state-of-the-art intelligent autonomous systems.

Job ID: 5400

Expiration Date: NA

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Main Duties

• Design, train, fine-tune, and optimize LLMs and VLMs for real-world applications.
• Develop and orchestrate autonomous agent frameworks capable of reasoning, planning, and tool use.
• Build scalable, low-latency inference systems using frameworks such as DeepSpeed, vLLM, TensorRT, or ONNX Runtime.
• Implement distributed training, model parallelism, and optimized inference pipelines.
• Deploy AI systems across GPUs, edge devices, and cloud platforms.
• Integrate multimodal reasoning capabilities into production-ready AI applications.
• Stay updated with advancements in LLMs, multimodal AI, and autonomous agent research.
• Collaborate with research teams to translate innovation into scalable engineering solutions.

Essential Qualifications

• Master’s degree or PhD program for Computer Science or AI and ML or Robotics or any related discipline. 
• Demonstrate practical skills with LLMs and VLMs or agentic AI frameworks. 
• Advanced knowledge of transformers together with multimodal architectures and AI optimization techniques.
• Experience with deploying AI systems for production use at enterprise level. 
• Expertise in programming through Python and C++ programming languages. 
• Knowledge about distributed systems and GPU optimization and high-performance computing systems. 
• Exceptional abilities in both communication and team-based work.

Preferred Qualifications

• Expertise in either reinforcement learning or alignment techniques through their knowledge of RLHF and RLAIF and their understanding of neurosymbolic methods. 
• Agent frameworks that include LangChain and LlamaIndex and AutoGPT and CrewAI and similar systems. 
• Experience working with vector databases that include FAISS and Milvus and Pinecone and Weaviate.
• Experience working in either robotics or simulation environments or embodied artificial intelligence. 
• Published research work in artificial intelligence conferences and scientific journals.