

Generative AI Engineer
β - 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, expertise in Python, and familiarity with cloud environments. Contract length and pay rate are unspecified.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
523.8095238095
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ποΈ - Date discovered
August 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
-
π - Security clearance
Unknown
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π - Location detailed
United States
-
π§ - Skills detailed
#Azure #Docker #TensorFlow #Computer Science #Data Science #GCP (Google Cloud Platform) #Python #AWS (Amazon Web Services) #Cloud #NLP (Natural Language Processing) #ML (Machine Learning) #PyTorch #AI (Artificial Intelligence) #Data Ingestion #Hugging Face #Scala #"ETL (Extract #Transform #Load)" #Kubernetes
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’ Bachelorβs or Masterβs 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.
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’ Bachelorβs or Masterβs 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.