HiringCafe
Posted 2w ago

AI Engineer (Mid)

@ Northramp
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Washington or Virginia or Maryland or United States
RemoteFull Time
Responsibilities:architecting applications, designing workflows, integrating AI
Requirements Summary:5+ years software/application engineering with AI focus; hands-on with Google ADK or agentic frameworks; Python (Java a plus); experience integrating LLMs (Gemini/OpenAI); GCP (Vertex AI, Cloud Run, GKE, BigQuery, Pub/Sub); responsible AI practices.
Technical Tools Mentioned:Google ADK, LangGraph, LangChain, AutoGen, Python, Java, Gemini, OpenAI, Vertex AI, Vertex AI Agent Builder, Gemini Code Assist, Gemini CLI, Cloud Run, GKE, BigQuery, Pub/Sub, Dataform, Looker, Harness, Checkmarx, Invicti, FedRAMP, FISMA
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Job Description

We are looking for an Application Architect with strong AI engineering experience to design and build intelligent, agentic applications on Google Cloud Platform. This role sits within an application engineering team and focuses on architecting AI-enabled systems using the Google Agentic Development Kit (ADK), Gemini, and Vertex AI — integrated into enterprise Java/Python backends and cloud-native microservices. You are equally comfortable defining application architecture, designing agentic workflows, writing production-quality code, and translating AI capabilities into practical, mission-aligned solutions for federal stakeholders.

This role is remote with a preference for candidates located in Virginia, Maryland, or Washington DC.

Key Responsibilities

  • Architect and implement AI-enabled application systems on GCP, with a focus on agentic workflows using Google ADK and Gemini Pro.
  • Design human-in-the-loop agentic systems — defining agent roles, tool use, orchestration patterns, and guardrails for responsible, auditable AI behavior.
  • Integrate AI/ML capabilities (Vertex AI, Gemini APIs, embeddings, RAG) into enterprise Java and Python applications via well-designed APIs and microservices.
  • Lead application-layer design decisions: data flow, context management, session handling, and state management within agentic architectures.
  • Collaborate with Data Engineers (BigQuery, Dataform) and Cloud Architects to ensure AI application solutions are grounded in reliable, governed data.
  • Conduct architectural reviews, define coding standards for AI-integrated applications, and mentor engineers on agentic design patterns.
  • Evaluate AI use cases for feasibility, risk, and mission fit; prototype and validate approaches before committing to full builds.
  • Contribute to responsible AI practices: explainability, human oversight, auditability, and alignment with federal AI governance requirements.
  • Stay current on the Google AI ecosystem (Gemini, ADK, Vertex AI Agent Builder) and inform team and leadership on strategic direction.