GenAI Engineer – Agentic AI & Cloud Engineering

NexivaRockville, MD
Hybrid

About The Position

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.

Requirements

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

Nice To Haves

  • 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

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
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