About the role

Role Overview

AKIVA AI is seeking AI Engineers (multiple levels: Junior, Mid-Level, Senior, and Subject Matter Expert) to design, build, integrate, and operate production-grade AI and agentic systems for enterprise and government programs. The work spans the full lifecycle from strategy and architecture through deployment and production support, with a focus on secure, scalable, and auditable solutions.

Key Responsibilities (All Levels)

Design, develop, and maintain AI-enabled and agentic systems for regulated enterprise/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 systems via 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 compliance 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.
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 or contributing to production systems.

Preferred Qualifications

Experience with multi-agent systems and agent orchestration/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 cognitive architectures or hybrid symbolic/LLM systems used in production.

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/logging
Visualization: Power BI, Tableau, or custom dashboards
Practices/Methodologies: Agile/Scrum, Secure SDLC, MLOps/AgentOps best practices, data governance/auditability/compliance controls, 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, with an emphasis on secure, auditable delivery in regulated environments.

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