Machine Learning AI_W2_Bentonville AR
Chelsoft Solutions Co.United States13 days ago
ContractEngineering, Information Technology
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Overview
We are seeking a highly skilled and innovative Machine Learning / AI Engineer to design and build a new AI. This agent will streamline workflows by enabling users to request data directly—without needing to search for it manually.
This is a hands-on engineering role focused on building intelligent, scalable, and user-friendly AI solutions using the latest in LLM, Generative AI, and agentic frameworks.
Key Responsibilities
We are seeking a highly skilled and innovative Machine Learning / AI Engineer to design and build a new AI. This agent will streamline workflows by enabling users to request data directly—without needing to search for it manually.
This is a hands-on engineering role focused on building intelligent, scalable, and user-friendly AI solutions using the latest in LLM, Generative AI, and agentic frameworks.
Key Responsibilities
- Architect and develop a custom AI agent capable of understanding natural language queries and retrieving relevant data.
- Integrate Large Language Models (LLMs) and Generative AI capabilities to enhance user experience.
- Utilize LangChain to orchestrate agent workflows and tool integrations.
- Build and maintain data pipelines using Python and Looker ML for real-time data access and visualization.
- Collaborate with cross-functional teams to understand associate needs and translate them into technical solutions.
- Ensure scalability, security, and performance of AI systems in production environments.
- Proven experience building AI agents or chatbots using LLMs and LangChain.
- Strong proficiency in Python for ML development and API integration.
- Familiarity with Generative AI concepts and tools.
- Experience with Looker ML or similar BI/ML platforms.
- Understanding of retrieval-augmented generation (RAG) and agentic AI workflows.
- Ability to work independently and communicate effectively with technical and non-technical stakeholders.
- Experience deploying AI solutions in enterprise environments.
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Familiarity with vector databases and embedding models.
- Background in NLP, data engineering, or MLOps.
Key Skills
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