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AI Engineer

Job in Richmond, Henrico County, Virginia, 23214, USA
Listing for: MCIM by Fulcrum Collaborations
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
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.

Location

Richmond, VA

Job Title

AI Engineer

Employment type

Full‑time

Seniority level

Mid‑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.
Who You’re a
  • 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.
What You Bring
  • 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.
Preferred Qualifications
  • 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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