AI Engineer – LLM & VLM Specialist

About the role

The Technology Innovation Institute’s Robotics Research Center is seeking an AI Engineer with deep expertise in large language models, vision‑language models, and autonomous agent architectures. You will work on cutting‑edge research and engineering to create scalable, production‑ready AI applications that combine multimodal reasoning with intelligent agent behavior.

Key responsibilities

• Design, train, fine‑tune, and optimize LLMs and VLMs for real‑world deployment.
• Develop autonomous agent frameworks that support multi‑step reasoning, planning, and tool use.
• Build low‑latency inference pipelines using DeepSpeed, vLLM, TensorRT, or ONNX Runtime.
• Implement distributed training, model parallelism, and efficient inference for edge devices, GPUs, and cloud platforms.
• Stay current with advances in multimodal models, neurosymbolic methods, and alignment techniques.

Required profile

• Strong research background in LLMs, VLMs, transformers and multimodal architectures.
• Hands‑on experience with fine‑tuning techniques such as LoRA, QLoRA, quantization and distillation.
• Proficiency in building and orchestrating agentic systems using frameworks like LangChain, LlamaIndex, AutoGPT or CrewAI.
• Ability to design reasoning loops, memory modules and multi‑agent coordination.

Required skills

• Python, C++
• PyTorch, TensorFlow, Hugging Face Transformers
• DeepSpeed, vLLM, TensorRT, ONNX Runtime
• LangChain, LlamaIndex, AutoGPT, CrewAI, OpenAI Agents
• Vector databases: Weaviate, Pinecone, FAISS, Milvus
• Messaging & caching: Redis, Kafka
• Experiment tracking: Weights & Biases, MLflow, TensorBoard
• Fine‑tuning methods: LoRA, QLoRA, quantization, distillation
• Reinforcement learning (RLHF, RLAIF) and neurosymbolic methods
• Distributed training, model parallelism, edge and cloud deployment