GEN AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer in NYC, NY, on a contract basis. Key skills include Python, ML/DL frameworks, and cloud platforms. Experience with LLMs and generative models is required, along with strong problem-solving abilities. Pay rate is "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
-
📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Deployment #GCP (Google Cloud Platform) #NLP (Natural Language Processing) #Datasets #Transformers #TensorFlow #Model Optimization #PyTorch #NLU (Natural Language Understanding) #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Kubernetes #Generative Models #Cloud #API (Application Programming Interface) #Automation #Azure #Python #Docker #Model Deployment #Programming #AI (Artificial Intelligence) #Java #Data Engineering #Hugging Face
Role description
Job Title: Generative AI Engineer
Location - NYC NY
Contract
About the Role:
We are looking for a highly skilled Generative AI Engineer to design, develop, and deploy AI solutions leveraging large language models (LLMs), generative models, and AI-driven automation. You will work on innovative projects that involve natural language understanding, content generation, and AI integration across business applications.
Key Responsibilities:
• Design, develop, and deploy generative AI models for text, code, image, and/or audio generation.
• Fine-tune and optimize pre-trained LLMs and other generative models for specific business use cases.
• Integrate AI solutions into existing applications, workflows, and cloud platforms.
• Work with data engineers and ML teams to preprocess data, manage datasets, and ensure high-quality model training.
• Develop APIs, SDKs, and pipelines to operationalize AI models for production environments.
• Implement prompt engineering strategies to maximize AI model performance.
• Monitor, evaluate, and continuously improve AI model outputs for accuracy, relevance, and safety.
• Stay updated on the latest advancements in generative AI, LLMs, and emerging AI frameworks.
Required Skills and Qualifications:
• Strong programming skills in Python, Java, or similar languages.
• Hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, Hugging Face Transformers, or OpenAI API.
• Familiarity with LLMs, generative models, diffusion models, and transformer architectures.
• Experience in prompt engineering, fine-tuning, or model optimization.
• Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps practices for deployment.
• Understanding of NLP, computer vision, or multimodal AI is a plus.
• Strong problem-solving skills and ability to work in cross-functional teams.
Preferred:
• Experience with AI safety, bias mitigation, and ethical AI practices.
• Knowledge of containerization (Docker, Kubernetes) for AI model deployment.
• Exposure to AI-powered chatbots, virtual assistants, or AI content generation platforms.
Why Join Us:
• Work on cutting-edge AI projects with real-world impact.
• Collaborate with a talented team of AI researchers and engineers.
• Opportunities for professional growth in the rapidly evolving AI field.
Regards,
Muraliraja
muraliraja@smartitframe.com
Job Title: Generative AI Engineer
Location - NYC NY
Contract
About the Role:
We are looking for a highly skilled Generative AI Engineer to design, develop, and deploy AI solutions leveraging large language models (LLMs), generative models, and AI-driven automation. You will work on innovative projects that involve natural language understanding, content generation, and AI integration across business applications.
Key Responsibilities:
• Design, develop, and deploy generative AI models for text, code, image, and/or audio generation.
• Fine-tune and optimize pre-trained LLMs and other generative models for specific business use cases.
• Integrate AI solutions into existing applications, workflows, and cloud platforms.
• Work with data engineers and ML teams to preprocess data, manage datasets, and ensure high-quality model training.
• Develop APIs, SDKs, and pipelines to operationalize AI models for production environments.
• Implement prompt engineering strategies to maximize AI model performance.
• Monitor, evaluate, and continuously improve AI model outputs for accuracy, relevance, and safety.
• Stay updated on the latest advancements in generative AI, LLMs, and emerging AI frameworks.
Required Skills and Qualifications:
• Strong programming skills in Python, Java, or similar languages.
• Hands-on experience with ML/DL frameworks like TensorFlow, PyTorch, Hugging Face Transformers, or OpenAI API.
• Familiarity with LLMs, generative models, diffusion models, and transformer architectures.
• Experience in prompt engineering, fine-tuning, or model optimization.
• Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps practices for deployment.
• Understanding of NLP, computer vision, or multimodal AI is a plus.
• Strong problem-solving skills and ability to work in cross-functional teams.
Preferred:
• Experience with AI safety, bias mitigation, and ethical AI practices.
• Knowledge of containerization (Docker, Kubernetes) for AI model deployment.
• Exposure to AI-powered chatbots, virtual assistants, or AI content generation platforms.
Why Join Us:
• Work on cutting-edge AI projects with real-world impact.
• Collaborate with a talented team of AI researchers and engineers.
• Opportunities for professional growth in the rapidly evolving AI field.
Regards,
Muraliraja
muraliraja@smartitframe.com
