

Saicon
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer (1-year contract) in NYC (1 day/week onsite) with a pay rate of "unknown." Key skills include Python, LLMs, agentic frameworks, and RAG workflows. Requires 3–5 years of software development experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Monitoring #Scala #Langchain #Databases #Python #Model Deployment #ML (Machine Learning) #Kubernetes #AI (Artificial Intelligence) #Docker #Deployment #Data Science
Role description
Agentic AI Developer (Contract Role – 1 year)
Location: NYC (1 day/week onsite)
Engagement: W2 or Corp-to-Corp Contract
We’re partnering with a leading client seeking a skilled Agentic AI Developer to design, develop, and deploy next-generation autonomous AI systems powered by modern large language models. This is an exciting opportunity for an AI engineer or software developer with experience in LLM-based architectures, agentic frameworks, and RAG (Retrieval-Augmented Generation) workflows.
You’ll join a collaborative team of data scientists, product managers, and ML engineers to build intelligent, context-aware agents that reason, adapt, and perform complex tasks autonomously.
What You’ll Do
• Design and implement autonomous agents using LLMs (GPT-4, Claude, LLaMA, etc.) and orchestration tools like Rasa, LangChain, or LangGraph.
• Build and optimize RAG pipelines to enable contextual understanding and dynamic reasoning.
• Integrate structured and unstructured data sources for improved agent intelligence and decision-making.
• Develop real-time inference and monitoring tools for deployed agents.
• Collaborate with cross-functional teams to translate business problems into scalable agentic workflows.
• Conduct performance analysis, testing, and continuous optimization of deployed models.
What You’ll Bring
• 3–5 years of hands-on software development experience.
• Strong proficiency in Python and production-level ML/AI coding.
• Solid understanding of agentic architectures, LLMs, and vector databases (FAISS, Pinecone).
• Experience integrating OpenAI, Anthropic Claude, or Meta LLaMA models into real-world solutions.
• Familiarity with Docker, Kubernetes, RESTful APIs, and model deployment best practices.
Nice-to-Haves:
• Experience with prompt engineering or LLM finetuning.
• Background in chatbots, intelligent assistants, or autonomous systems.
• Knowledge of caching strategies, MCP server/client builds, or enterprise AI deployments.
• Strong analytical skills and ability to communicate technical concepts clearly.
Why Join
• Work on cutting-edge AI agent orchestration and reasoning systems.
• Collaborate with a talented, forward-thinking team in a flexible remote environment.
• Opportunity to influence the architecture and direction of enterprise-scale AI deployments.
Agentic AI Developer (Contract Role – 1 year)
Location: NYC (1 day/week onsite)
Engagement: W2 or Corp-to-Corp Contract
We’re partnering with a leading client seeking a skilled Agentic AI Developer to design, develop, and deploy next-generation autonomous AI systems powered by modern large language models. This is an exciting opportunity for an AI engineer or software developer with experience in LLM-based architectures, agentic frameworks, and RAG (Retrieval-Augmented Generation) workflows.
You’ll join a collaborative team of data scientists, product managers, and ML engineers to build intelligent, context-aware agents that reason, adapt, and perform complex tasks autonomously.
What You’ll Do
• Design and implement autonomous agents using LLMs (GPT-4, Claude, LLaMA, etc.) and orchestration tools like Rasa, LangChain, or LangGraph.
• Build and optimize RAG pipelines to enable contextual understanding and dynamic reasoning.
• Integrate structured and unstructured data sources for improved agent intelligence and decision-making.
• Develop real-time inference and monitoring tools for deployed agents.
• Collaborate with cross-functional teams to translate business problems into scalable agentic workflows.
• Conduct performance analysis, testing, and continuous optimization of deployed models.
What You’ll Bring
• 3–5 years of hands-on software development experience.
• Strong proficiency in Python and production-level ML/AI coding.
• Solid understanding of agentic architectures, LLMs, and vector databases (FAISS, Pinecone).
• Experience integrating OpenAI, Anthropic Claude, or Meta LLaMA models into real-world solutions.
• Familiarity with Docker, Kubernetes, RESTful APIs, and model deployment best practices.
Nice-to-Haves:
• Experience with prompt engineering or LLM finetuning.
• Background in chatbots, intelligent assistants, or autonomous systems.
• Knowledge of caching strategies, MCP server/client builds, or enterprise AI deployments.
• Strong analytical skills and ability to communicate technical concepts clearly.
Why Join
• Work on cutting-edge AI agent orchestration and reasoning systems.
• Collaborate with a talented, forward-thinking team in a flexible remote environment.
• Opportunity to influence the architecture and direction of enterprise-scale AI deployments.





