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Remote, mid-level generative AI role with broad LLM requirements increases applicant competition.
Generative AI and LLM expertise is transferable across industries but requires specific ML experience.
Explicit 2+ years and multiple mandatory ML/LLM technologies required.
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Develop and implement Generative AI solutions including LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning models.
Handle end-to-end model lifecycle including training, evaluation, deployment, and optimization with Python and AI/ML frameworks.
Work remotely on AI projects applying classical machine learning algorithms and integrating vector databases for retrieval systems.
Minimum 2 years of experience in AI engineering with a focus on Generative AI.
Proficient in Python and hands-on experience with TensorFlow, PyTorch, Scikit-learn, LangChain, and OpenAI APIs.
Experience implementing LLMs, Prompt Engineering, RAG, Fine-tuning, Embeddings, and Vector Databases.
Immediate availability for a 3-month contract (extendable). Remote work location.
Strong technical expertise in both Generative AI techniques and classical machine learning algorithms.
Comfortable managing full model lifecycle and backend integration including APIs and data structures.
Experience working remotely and adapting to project-based contract roles with potential extensions.