AI Engineer
Location
United States
Posted
5 days ago
Salary
$125K - $225K / year
Seniority
Mid Level
Job Description
- 401(k)
- 401(k) matching
- Competitive salary
- Dental insurance
- Flexible schedule
- Health insurance
- Opportunity for advancement
- Paid time off
- Profit sharing
- Training & development
- Vision insurance
- Wellness resources
Company: AKIVA
Location: New York, NY
Security Clearance: None Required
Employment Type: Full-Time / Contract / Project-Based / Part-Time
- 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 and systems 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, and AgentOps practices, depending on level.
- Ensure solutions comply with data security, governance, and audit requirements.
- Document systems, workflows, and AI behavior to support compliance and operational continuity.
- Experience in software engineering, AI/ML, data engineering, or enterprise systems, commensurate with level.
- Proficiency in Python and SQL (SQL Server preferred).
- Experience working with REST APIs and integrated enterprise systems.
- Familiarity with cloud-based environments (Azure, AWS, or equivalent).
- Understanding of AI/ML concepts, including model deployment and lifecycle management.
- Exposure to or experience with agent-based systems, orchestration, or workflow automation.
- Experience supporting or contributing to production systems.
- Experience with multi-agent systems, agent orchestration frameworks, or agentic platforms.
- Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom frameworks).
- Experience with monitoring and observability tools
- Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards.
- Experience with cognitive architectures, neural network-based models, or hybrid symbolic/LLM systems used in production environments.
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Languages: Python, SQL, PowerShell/Bash
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Databases: SQL Server
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AI & Agentic Systems: LLM-based agents, multi-agent orchestration frameworks, vector databases
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Integration: REST APIs, FTP/SFTP
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Cloud: Azure, AWS, GCP
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DevOps & Ops: CI/CD pipelines, infrastructure as code, monitoring and logging tools
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Visualization: Power BI, Tableau, or custom dashboards
- Agile / Scrum
- Secure Software Development Lifecycle (SDLC)
- MLOps and AgentOps best practices
- Data governance, auditability, and compliance controls
- Responsible and explainable AI practices
Join our AI Innovation Network here: 👉 https://www.akiva.com/ai-network
This is a remote position.
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