(Fulltime role) Agentic AI-Engineer-Remote
• Experience: Experience in ML/AI roles
• Agentic Frameworks: Hands-on experience with agent-based frameworks such as LangGraph, AutoGen, or CrewAI.
• Education: A Master's degree in engineering or computer science is required, with a PhD preferred.
Technical Skills:
• Strong expertise in Deep Learning & Natural Language Processing using frameworks like PyTorch or TensorFlow.
• Extensive experience fine-tuning foundation models (e.g., LLaMA, Mistral) and deploying inference pipelines.
• Proficiency with Hugging Face and popular fine-tuning techniques (LoRA, PEFT).
• Experience with Vector/Semantic search, RAG pipelines, or embedding optimization (PGVector, Pinecone, FAISS).
Infrastructure and Operations:
• Experience with LLMOps tooling (Weights & Biases, MLflow) and deploying ML systems in cloud environments (AWS, Google Cloud Platform, Azure).
• A deep understanding of GPU/memory optimization, distributed training, and batching strategies.
• Strong software engineering skills, including proficiency in Python, APIs, microservices, and containerization with Docker/Kubernetes.
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