GenAI Engineer - Agentic AI & Cloud Engineering

Title:
GenAI Engineer Agentic AI & Cloud Engineering

Location:
Rockville, MD or McLean, VA (Hybrid)

Duration: 6+ months contract

Pay range : $70/hr C2C

Only Local who are in DC/VA/MD who can take Assessment before Submission and required for F2F interview

This role sits within a GenAI-focused engineering team responsible for taking early-stage AI concepts and driving them from POC to production. The team is heavily focused on building AI-powered tools, agents, and enterprise use cases leveraging modern GenAI frameworks.

• Design and build GenAI solutions, including:
  • Agent-based architectures
  • RAG (Retrieval-Augmented Generation) pipelines
  • AI-powered tools and automation workflows
• Develop and maintain agent frameworks, including integration with MCPs (Model Context Protocols / multi-component systems)
• Take proofs of concept (POCs) and:
  • Mature them into scalable solutions
  • Drive adoption across teams
  • Bring them into production environments
• Partner across teams to $B!
  
  H(Bmarket$B!
  
  I(B and evangelize AI solutions internally
• Work hands‑on across the stack, including coding, architecture, and infrastructure design
• Operate in a high data volume environment, requiring strong data engineering fundamentals

• GenAI / LLM Engineering (core requirement):
  • Experience building agents and AI workflows
  • Hands‑on with RAG pipelines
  • Strong understanding of LLM integration and orchestration
• Programming & Data:
  • Python (primary language for AI/agent development)
  • SQL (data access, transformation, querying large datasets)
  • Experience working with large-scale data environments
• Cloud &
  
  Infrastructure:
  • Strong experience with AWS
  • Understanding of deploying and scaling AI solutions in cloud environments
• Engineering Mindset:
  • Hands‑on coder (not purely conceptual/architectural)
  • Ability to build from scratch and iterate quickly

• Deep, hands‑on GenAI builder (not just theoretical AI knowledge)
• Proven ability to:
  • Build working agents and AI tools
  • Take ideas from concept $B"*(B POC $B"*(B production
• Comfortable operating in ambiguous, fast‑moving environments
• Strong communicator who can drive adoption across business and tech teams

• Focused on AI‑first innovation and experimentation
• Working on a pipeline of multiple POCs and emerging initiatives
• Highly collaborative, cross‑functional engagement
• Based in Client office environment (onsite expectations likely)