Title: GenAI Engineer – Agentic AI & Cloud Engineering

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

Duration: 6+ months contract

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

Overview

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 $B!H(Bmarket$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

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