2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: Chicago, IL - Remote
Duration: 6 months
skill id: 10741271
Competencies: 6-8+ years experience required
Digital : Microsoft Azure
Digital : Machine Learning
Digital : Python for Data Science
Generative AI
Role Description:
Key Responsibilities
Design and implement AI-driven applications using LangChain, LangGraph, and MCP frameworks.
Develop and optimize Python-based pipelines for generative AI models.
Architect scalable solutions with strong system design principles.
Deploy and manage AI workloads on Azure Cloud, ensuring reliability and performance.
Integrate observability tools to monitor, troubleshoot, and optimize AI systems.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Maintain version control and CI/CD workflows using Git.
Stay updated with emerging AI technologies and contribute to innovation initiatives.
Essential Skills:
Required Skills & Qualifications
Strong proficiency in Python and experience with AI/ML frameworks.
Hands-on expertise with LangChain, LangGraph, and MCP.
Solid understanding of system design and distributed architectures.
Experience deploying applications on Azure Cloud (AKS, Functions, or App Services).
Familiarity with observability tools (e.g., corologix, langsmith).
Proficiency with Git for version control and collaborative development.
Strong problem-solving skills and ability to work in fast-paced environments.
Preferred Qualifications:
Experience with LLM fine-tuning and prompt engineering.
Knowledge of containerization (Docker, Kubernetes).
Background in MLOps and automated deployment pipelines.
Prior experience in building enterprise-grade AI applications., Project Code :
MSP Owner: Rob Finton
Location: Chicago, IL - Remote
Duration: 6 months
skill id: 10741271
Competencies: 6-8+ years experience required
Digital : Microsoft Azure
Digital : Machine Learning
Digital : Python for Data Science
Generative AI
Role Description:
Key Responsibilities
Design and implement AI-driven applications using LangChain, LangGraph, and MCP frameworks.
Develop and optimize Python-based pipelines for generative AI models.
Architect scalable solutions with strong system design principles.
Deploy and manage AI workloads on Azure Cloud, ensuring reliability and performance.
Integrate observability tools to monitor, troubleshoot, and optimize AI systems.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Maintain version control and CI/CD workflows using Git.
Stay updated with emerging AI technologies and contribute to innovation initiatives.
Essential Skills:
Required Skills & Qualifications
Strong proficiency in Python and experience with AI/ML frameworks.
Hands-on expertise with LangChain, LangGraph, and MCP.
Solid understanding of system design and distributed architectures.
Experience deploying applications on Azure Cloud (AKS, Functions, or App Services).
Familiarity with observability tools (e.g., corologix, langsmith).
Proficiency with Git for version control and collaborative development.
Strong problem-solving skills and ability to work in fast-paced environments.
Preferred Qualifications:
Experience with LLM fine-tuning and prompt engineering.
Knowledge of containerization (Docker, Kubernetes).
Background in MLOps and automated deployment pipelines.
Prior experience in building enterprise-grade AI applications., Project Code :