AI Engineer

AKIVA

AI Engineer

Round Hill, VA +4 locations
Part Time
Paid
  • Responsibilities

    Benefits:

    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 lifecycle—from strategy and architecture through deployment and production support—delivering 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 AKIVA’s 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.

  • Locations
    Washington, DC • Baton Rouge, LA • Round Hill, VA • Leesburg, VA • Arlington, VA