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AI Engineer
Job in
Richmond, Henrico County, Virginia, 23214, USA
Listed on 2026-01-12
Listing for:
MCIM by Fulcrum Collaborations
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
Pay Range
MCIM by Fulcrum Collaborations provides a base pay range of $/yr – $/yr. Your actual pay will be based on your skills, experience and discussed with your recruiter.
LocationRichmond, VA
Job TitleAI Engineer
Employment typeFull‑time
Seniority levelMid‑Senior level
What You’ll Do- Rapid AI Prototyping
- Use generative and agent‑based tools (Cursor, Windsurf, Cline, Replit, etc.) to build functional proof‑of‑concepts using real MCIM data.
- Multi‑Agent Orchestration
- Build and manage infrastructure for autonomous agents capable of coordinating within MCIM’s enterprise SaaS workflows.
- Performance & Integration Tuning
- Partner with Data Engineering to align models with MCIM’s ontology and ensure system performance, scalability, and reliability.
- Full‑Stack System Design
- Connect front‑end interfaces with back‑end AI logic to create end‑to‑end MVPs with real user value.
- A scrappy builder with a track record of hands‑on experimentation using tools like Lang Chain, Langsmith, Hugging Face, PyTorch, Tensor Flow, etc.
- Comfortable working solo or in small teams to move from idea → demo quickly.
- Understand how to implement LLMs and agents to solve real problems—not just theorize about them.
- Familiar with modern system architectures, infrastructure as code, prompting strategies, observability and end‑to‑end software delivery.
- Proven experience delivering AI/ML solutions (LLM integrations, agentic workflows, full‑stack prototypes, observability).
- Comfort with tools like Lang Chain, Autogen, CrewAI, Replit, and Hugging Face.
- Programming comfort (Python preferred) and ability to connect AI logic to live data backends with observability.
- Experience working with structured and unstructured data; SQL knowledge a plus.
- Self‑starter mindset with strong curiosity, communication, and collaboration instincts.
- 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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