AI Engineer
AKIVA AI
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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