InfoServ LLC
AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Python, ML, Generative AI, and cloud deployment. Experience with RAG pipelines, LLM integration, and MLOps practices is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Python #Langchain #Data Pipeline #Deployment #Docker #REST API #AI (Artificial Intelligence) #Data Science #Monitoring #Scala #Microservices #ML (Machine Learning) #FastAPI #Cloud #Flask #Databases #REST (Representational State Transfer) #Kubernetes
Role description
Job Summary
We are seeking a talented AI Engineer to design, develop, deploy, and optimize AI-powered applications using Machine Learning (ML), Large Language Models (LLMs), and Generative AI technologies. The ideal candidate will have strong Python development skills, experience building scalable AI solutions, and expertise in deploying AI models in cloud environments.
Key Responsibilities
• Design, develop, and deploy AI/ML and Generative AI applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Develop AI agents and conversational applications using LangChain, LlamaIndex, LangGraph, CrewAI, or similar frameworks.
• Integrate Large Language Models (OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, etc.) into enterprise applications.
• Fine-tune, evaluate, and optimize LLMs for business use cases.
• Build REST APIs and microservices using FastAPI or Flask.
• Develop data pipelines for model training, preprocessing, and inference.
• Deploy AI models using Docker, Kubernetes, and cloud platforms.
• Implement MLOps best practices including model versioning, monitoring, CI/CD, and automated deployments.
• Collaborate with product managers, data scientists, software engineers, and business stakeholders to deliver AI solutions.
• Monitor production AI systems and improve model performance, scalability, and reliability.
Job Summary
We are seeking a talented AI Engineer to design, develop, deploy, and optimize AI-powered applications using Machine Learning (ML), Large Language Models (LLMs), and Generative AI technologies. The ideal candidate will have strong Python development skills, experience building scalable AI solutions, and expertise in deploying AI models in cloud environments.
Key Responsibilities
• Design, develop, and deploy AI/ML and Generative AI applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Develop AI agents and conversational applications using LangChain, LlamaIndex, LangGraph, CrewAI, or similar frameworks.
• Integrate Large Language Models (OpenAI, Anthropic Claude, Google Gemini, Llama, Mistral, etc.) into enterprise applications.
• Fine-tune, evaluate, and optimize LLMs for business use cases.
• Build REST APIs and microservices using FastAPI or Flask.
• Develop data pipelines for model training, preprocessing, and inference.
• Deploy AI models using Docker, Kubernetes, and cloud platforms.
• Implement MLOps best practices including model versioning, monitoring, CI/CD, and automated deployments.
• Collaborate with product managers, data scientists, software engineers, and business stakeholders to deliver AI solutions.
• Monitor production AI systems and improve model performance, scalability, and reliability.
