AI Engineer

Cb•San Francisco, CA

16h•$125,000 - $225,000•Remote

About The Position

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. 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. 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.

Requirements

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 .

Nice To Haves

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.

Responsibilities

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.