MCIM by Fulcrum Collaborations

AI Engineer

MCIM by Fulcrum Collaborations

full-time

Posted on:

Origin:  • 🇺🇸 United States • Virginia

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Job Level

Mid-LevelSenior

Tech Stack

PythonPyTorchSQLTensorflow

About the role

  • Build and ship functional AI prototypes demonstrating real business value for MCIM's Data Center Operating System (DCOS)
  • Leverage agentic frameworks (LangChain, CrewAI, Autogen) to design and deploy multi-agent systems and LLM-based tools
  • Rapid AI prototyping using generative and agent-based tools (Cursor, Windsurf, Cline, Replit) with real MCIM data
  • Build and manage infrastructure for autonomous agents coordinating within MCIM’s enterprise SaaS workflows
  • Partner with Data Engineering to align models with MCIM’s ontology and ensure performance, scalability, and reliability
  • Connect front-end interfaces with back-end AI logic to create end-to-end MVPs with real user value
  • Collaborate closely with data engineers, product visionaries, and technical stakeholders; report directly to the founder
  • Influence development of new data-driven products and revenue-generating capabilities within MCIM

Requirements

  • Proven experience delivering AI/ML solutions (LLM integrations, agentic workflows, full-stack prototypes, observability)
  • Hands-on experimentation using LangChain, Langsmith, Hugging Face, PyTorch, TensorFlow
  • Comfortable with agentic frameworks and tools like LangChain, Autogen, CrewAI, Replit, Cursor, Windsurf, Cline
  • Programming comfort (Python preferred)
  • Ability to connect AI logic to live data backends with observability
  • Experience working with structured and unstructured data; SQL knowledge a plus
  • Familiar with modern system architectures, infrastructure as code, prompting strategies, observability and end-to-end software delivery
  • Self-starter mindset with strong curiosity, communication, and collaboration instincts
  • Preferred: 5+ years in software engineering, AI product development, or full-stack roles
  • Proficient with prompt engineering and LLM APIs
  • Prior work inside a fast-paced innovation or R&D group preferred
  • Bachelor's degree in a technical field is a plus—but hands-on proof of ability matters most
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