GenAI Engineer – Agentic AI & Cloud Engineering

Title:  GenAI Engineer – Agentic AI & Cloud Engineering

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

Contract: 6+ months contract with extension

Only Local candidates who can take Assessment and only who are in DC/VA/MD who can got for F2F intervie

Job Description
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.

Key Responsibilities

• 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 “market” 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

Required Technical Skillset

• 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

What “Good” Looks Like

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

Team & Environment

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