American Business Solutions Inc.
Agentic AI Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Agentic AI Developer on a contract basis, offering $51.39 - $61.89 per hour. Requires 3-5 years of software development experience, proficiency in Python, and expertise in LLMs and agentic frameworks. On-site work location.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
488
-
🗓️ - Date
October 26, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York State
-
🧠 - Skills detailed
#Scala #Model Deployment #ML (Machine Learning) #Docker #Langchain #Databases #Data Science #Deployment #Monitoring #Python #Datasets #AI (Artificial Intelligence) #Kubernetes
Role description
OverviewJoin us as an Agentic AI Developer, where your innovative spirit will thrive in a dynamic environment! You will be at the forefront of developing intelligent systems that harness the power of artificial intelligence (AI) and machine learning. Your expertise will help create solutions that not only analyze vast datasets but also drive actionable insights and enhance user experiences. If you’re passionate about pushing the boundaries of technology and making a real impact, this is the role for you!
What you’ll do
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.
Job Type: Contract
Pay: $51.39 - $61.89 per hour
Work Location: On the road
OverviewJoin us as an Agentic AI Developer, where your innovative spirit will thrive in a dynamic environment! You will be at the forefront of developing intelligent systems that harness the power of artificial intelligence (AI) and machine learning. Your expertise will help create solutions that not only analyze vast datasets but also drive actionable insights and enhance user experiences. If you’re passionate about pushing the boundaries of technology and making a real impact, this is the role for you!
What you’ll do
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.
Job Type: Contract
Pay: $51.39 - $61.89 per hour
Work Location: On the road
