Fulltime - Fullstack AI Engineer
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Role details
Tech stack
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Requirements
7+ years in AI/ML engineering, platform engineering, software engineering, or applied machine learning.
Hands-on experience with LLMs, transformers, embeddings, RAG, semantic search, and GenAI application patterns.
Strong Python engineering skills with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
Experience deploying production AI services using APIs, containers, Kubernetes, CI/CD, cloud-native services, and monitoring platforms.
Practical exposure to AWS AI/cloud services or comparable cloud-native AI deployment experience, with ability to ramp quickly on AWS-hosted AIRP patterns.
Working knowledge of Terraform/IaC, DevOps pipelines, release management, model evaluation, inference optimization, and secure data handling.
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