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