AI Engineer

Job Description

Job DescriptionBenefits:

• 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

About AKIVA

AKIVA is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. We build production-ready AI systems, intelligent infrastructure, and agentic management platforms that drive measurable results for commercial enterprises and government agencies.

Company: AKIVA
Location: Multiple / Remote
Security Clearance: None Required
Employment Type: Full-Time / Contract / Project-Based / Part-Time

Position Overview

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

This role supports regulated, compliance-driven environments, including data-intensive platforms, dashboards, automation workflows, and multi-system integrations critical to program oversight, reporting, and operational efficiency.

AI Engineers at AKIVA work across the full lifecyclefrom strategy and architecture through deployment and production supportdelivering secure, scalable, and auditable AI solutions, including multi-agent systems, orchestration frameworks, and agent-based task coordination for complex workflows.

Key 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 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.
  
  

Required Qualifications (Level-Appropriate)

• 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.
  
  

Preferred Qualifications

• 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.

Tools, Technologies & Frameworks

• Languages: Python, SQL, PowerShell/Bash
  
  
• Databases: SQL Server
  
  
• AI & Agentic Systems: LLM-based agents, multi-agent orchestration frameworks, vector databases
  
  
• Integration: REST APIs, FTP/SFTP
  
  
• Cloud: Azure, AWS, GCP
  
  
• DevOps & Ops: CI/CD pipelines, infrastructure as code, monitoring and logging tools
  
  
• Visualization: Power BI, Tableau, or custom dashboards
  
  

Methodologies & Practices

• 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

Interested in staying connected with AKIVAs AI initiatives, research, and opportunities?

Join our AI Innovation Network here: https://www.akiva.com/ai-network


This requisition is intended to support hiring across multiple AI Engineer levels, from early-career engineers to senior technical leaders and subject matter experts. Responsibilities, autonomy, and technical leadership expectations will scale based on experience and demonstrated expertise.

Equal Employment Opportunity Statement

AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool.

AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB).

This is a remote position.