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AI Engineer

AKIVA AI

midpermanentfullstack Washington, DC 3 days ago via LinkedIn

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Tags

PythonSQLSQL ServerREST APIsAzureAWSGCPMLOpsAgentic SystemsCI/CD

About the role

Role Overview

AKIVA AI is seeking AI Engineers across multiple experience levels (Junior to Subject Matter Expert) to design, build, integrate, and operate production-grade AI and agentic systems for enterprise and government programs.

You’ll work in regulated, compliance-driven environments supporting data-intensive platforms, dashboards, automation workflows, and multi-system integrations.

Responsibilities (All Levels)

  • Design, develop, and maintain AI-enabled and agentic systems for enterprise and government use cases.
  • Build and operate multi-agent workflows, including agent coordination, orchestration, and tool invocation.
  • Develop secure data pipelines for ingestion, transformation, and validation.
  • Integrate AI solutions with enterprise platforms using REST APIs, SQL Server, and secure file transfer.
  • Support production dashboards, automation scripts, and scheduled/overnight processes.
  • Monitor, troubleshoot, and optimize AI systems, data pipelines, and integrations.
  • Contribute to or lead DevOps/MLOps/AgentOps practices depending on level.
  • Ensure compliance with data security, governance, and audit requirements.
  • Document systems, workflows, and AI behavior for compliance and operational continuity.

Required Qualifications

  • Experience in software engineering, AI/ML, data engineering, or enterprise systems (appropriate to level).
  • Proficiency in Python and SQL (SQL Server preferred).
  • Experience working with REST APIs and integrated enterprise systems.
  • Familiarity with cloud environments (Azure, AWS, or equivalent).
  • Understanding of AI/ML concepts, including model deployment and lifecycle management.
  • Exposure to agent-based systems, orchestration, or workflow automation.
  • Experience supporting and/or contributing to production systems.

Preferred Qualifications

  • Experience with multi-agent systems, agent orchestration frameworks, or agentic platforms.
  • Familiarity with agent frameworks such as LangChain, AutoGen, CrewAI, or custom frameworks.
  • Experience with monitoring and observability tools.
  • Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards.
  • Experience with hybrid symbolic/LLM or neural network-based production systems.

Tools / Technologies

  • Languages: Python, SQL, PowerShell/Bash
  • Databases: SQL Server
  • AI/Agentic Systems: LLM-based agents, multi-agent orchestration, vector databases
  • Integration: REST APIs, FTP/SFTP
  • Cloud: Azure, AWS, GCP
  • DevOps & Ops: CI/CD, infrastructure as code, monitoring/logging tools
  • Visualization: Power BI, Tableau, custom dashboards
  • Practices: Agile/Scrum, Secure SDLC, MLOps & AgentOps, data governance/auditability, responsible & explainable AI

About AKIVA AI

AKIVA AI is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. The company builds production-ready AI systems, intelligent infrastructure, and agentic management platforms for commercial enterprises and government agencies, emphasizing security, scalability, and auditability.

Scraped 4/1/2026

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