Generative AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level AI Engineer specializing in RAG and LLMs, offering a flexible remote/hybrid contract. Requires 3-5 years of experience in AI, proficiency in Python, and familiarity with cloud environments. Competitive pay rate.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
547.619047619
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Computer Science #Hugging Face #Docker #Scala #"ETL (Extract #Transform #Load)" #Azure #AI (Artificial Intelligence) #Kubernetes #NLP (Natural Language Processing) #Python #ML (Machine Learning) #PyTorch #AWS (Amazon Web Services) #Data Ingestion #Data Science #Cloud #TensorFlow #GCP (Google Cloud Platform)
Role description
Job Title: Mid-Level AI Engineer (RAG & LLM) Location: Remote / Hybrid (Flexible) About the Role: We are seeking an experienced Mid-Level AI Engineer specializing in Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). You will build innovative AI-driven solutions that automate complex processes, enhance customer experiences, and optimize operational efficiency. Key Responsibilities: β€’ Develop and deploy scalable RAG-based applications utilizing advanced Large Language Models (e.g., GPT-series models). β€’ Implement automated self-correcting systems to enhance accuracy, reduce manual interventions, and improve operational efficiency. β€’ Design and maintain robust data ingestion pipelines and ETL processes, ensuring real-time data availability and optimal performance. β€’ Create multimodal AI solutions integrating NLP and computer vision capabilities to address complex business use-cases. β€’ Collaborate closely with cross-functional teams including data scientists, product managers, and software engineers to identify requirements and implement AI solutions. β€’ Prototype, validate, and continuously optimize ML models to drive measurable business impact. Qualifications: β€’ Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field. β€’ 3-5 years of professional experience developing and deploying AI, NLP, and LLM-based solutions. β€’ Proven experience implementing Retrieval-Augmented Generation (RAG) techniques and Large Language Models. β€’ Expertise in Python and familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face, or similar. β€’ Experience in building automated ML infrastructure and applications with measurable business impact (cost reduction, churn prediction, automated workflows). β€’ Practical knowledge of cloud computing environments (AWS, GCP, Azure) and container orchestration tools (Docker, Kubernetes). Preferred Skills: β€’ Background in developing multimodal AI systems combining NLP with computer vision. β€’ Experience with real-time analytics and secure-by-design architectures. β€’ Strong analytical skills with proven success in reducing operational costs and improving business processes through AI. Why Join Us: You will be joining a dynamic team working at the forefront of AI technology, contributing directly to impactful products and solutions. We offer competitive compensation, excellent benefits, and ample opportunities for professional growth.