MCP Software Engineer

We are seeking a talented MCP Software Engineer to join a dynamic team. This remote role offers the opportunity to develop and scale communication platforms and data pipelines supporting advanced AI and analytics initiatives. You will play a key role in designing systems that enhance agent communication, orchestration, and observability, directly impacting enterprise data integration and AI workflows.


Responsibilities include:

• Developing and implementing the MCP (Model/Agent Communication Platform) to facilitate seamless agent interactions and system orchestration
• Building scalable data pipelines to support AI, machine learning, and analytics use cases
• Integrating MCP with enterprise data systems, APIs, and AI services for efficient data flow
• Supporting data transformation, ingestion, and workflow orchestration to ensure reliable data processing
• Collaborating with cross-functional teams to optimize system performance and observability

• A minimum of five years working in software or data engineering roles, with a focus on building robust data systems
• Strong skills in Python programming and experience designing APIs or microservices architectures
• Proven experience creating data pipelines using ETL (Extract, Transform, Load) or ELT processes
• Hands-on experience with distributed or event-driven systems for scalable data processing
• Practical knowledge of AI/LLM integration workflows and agent-based or orchestration frameworks such as LangChain or Semantic Kernel
• Deep understanding of system observability, including logging, tracing, and monitoring practices
• Familiarity with integrating AI solutions into enterprise data platforms and working with cloud environments like Azure, GCP, or AWS

• Experience with MCP or similar agent communication frameworks
• Knowledge of MLOps or LLMOps practices for managing AI models and workflows
• Understanding of vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures
• Experience with CI/CD pipelines and DevOps practices
• Exposure to real-time observability tools and monitoring solutions

• Competitive hourly pay rate of $65-68, with potential for contract extension or conversion
• Work remotely from anywhere in the United States, offering flexibility and work-life balance
• Opportunity to contribute to cutting-edge AI and data integration projects in a fast-growing field
• Collaborate with innovative teams leveraging modern cloud platforms and scalable architectures
• Gain experience in AI/LLM workflows, orchestration frameworks, and observability tools

• 25+ Years of Proven Industry Experience in 4 major markets
• Employee Stock Ownership Program
• Medical, Dental, Vision, and Life Insurance
• ClearlyRated's Best of Staffing® Client and Talent Award winner for 12 years in a row