AI Engineer
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in Software deployment?, * 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
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance
- Profit sharing, * 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.