Northramp

Northramp

Northramp is a leading IT consulting company that offers FEDPASS™ for enhanced visibility and control over IT services. With SPARCH technology, they combine custom MS .NET code and MS SQL Server for reliable solutions. Their services focus on managing ...

IT Services
51-250
Founded 2012

Description

  • Architect and implement AI-enabled application systems on Google Cloud Platform using agentic workflows.
  • Design human-in-the-loop agentic systems with clear agent roles, orchestration patterns, tool use, and guardrails.
  • Integrate Vertex AI, Gemini APIs, embeddings, and RAG capabilities into Java and Python applications through APIs and microservices.
  • Lead application-layer decisions for data flow, context management, session handling, and state management.
  • Collaborate with Data Engineers and Cloud Architects to ensure solutions are built on reliable, governed data.
  • Conduct architectural reviews, define coding standards, and mentor engineers on agentic design patterns.
  • Evaluate AI use cases for feasibility, risk, and mission fit, and prototype approaches before full implementation.
  • Support responsible AI practices including explainability, human oversight, auditability, and federal governance alignment.
  • Stay current on the Google AI ecosystem and advise leadership on strategic direction.

Requirements

  • 5–8 years of software or application engineering experience with a focus on AI-integrated or intelligent application design.
  • Hands-on experience with Google ADK or comparable agentic frameworks such as LangGraph, LangChain, or AutoGen; Google ADK strongly preferred.
  • Proficiency in Python for AI/ML integration; Java experience is a plus.
  • Experience integrating LLM APIs such as Gemini, OpenAI, or equivalent into production workflows.
  • Solid understanding of agentic design patterns, including tool use, multi-agent orchestration, RAG, memory, and context management.
  • Experience with GCP services including Vertex AI, Cloud Run, GKE, BigQuery, and Pub/Sub.
  • Familiarity with REST API design, microservices architecture, and CI/CD pipelines; Harness is preferred.
  • Understanding of responsible AI principles, including human-in-the-loop design, auditability, bias awareness, and federal AI governance.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field; advanced degree is a plus.
  • Google Cloud Professional Cloud Architect or Professional Machine Learning Engineer certification is preferred; Security+ is desirable.
  • Experience with Vertex AI Agent Builder, Gemini Code Assist, or Gemini CLI in a development workflow is preferred.
  • Familiarity with BigQuery, Dataform, and Looker is preferred.
  • Experience on federal or large-scale enterprise modernization programs is preferred.
  • Exposure to FedRAMP/FISMA requirements and security-compliant AI deployment practices is preferred.
  • Experience with DevSecOps pipelines and SAST/DAST tools such as Checkmarx or Invicti is preferred.
  • Successful completion of a client-required background investigation and suitability determination is required.
  • Ability to obtain and maintain a federal security clearance may be required.
  • Remote work is available, with preference for candidates located in Virginia, Maryland, or Washington, DC.

Benefits

  • Health care plan covering medical, dental, and vision.
  • Retirement plan including 401(k) and IRA options.
  • Life insurance coverage, including basic, voluntary, and AD&D.
  • Paid time off for vacation, sick leave, and public holidays.
  • Family leave, including maternity and paternity leave.
  • Short-term and long-term disability coverage.
  • Training and development support.
  • Work-from-home flexibility.
  • Wellness resources.
  • Employee bonus programs.

Interested in this position?

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