AI Engineer, Agentic AI & Automation

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Actian

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

☁️ SaaS

🏢 Enterprise

SaaS • Data Management • Enterprise

Actian is a company that offers data management and analytics platforms, enabling businesses to make confident, data-driven decisions. Their products include a cloud-native SaaS solution and a comprehensive data platform with capabilities in data management, integration, quality, analytics, and app modernization. Actian's technology supports flexible deployment options across on-premises, cloud, and hybrid environments. Their database solutions include NoSQL, RDBMS, and other database management systems ideal for diverse applications. Actian collaborates with major cloud platforms like Google Cloud, AWS, and Microsoft Azure, providing solutions across various industries such as financial services, healthcare, and retail. The company aims to empower organizations by simplifying how data is connected, managed, and analyzed, offering reliable, scalable, and high-performance solutions.

📋 Description

• Design and build multi-agent AI systems capable of self-planning, reflection, and executing complex, multi-step workflows without human intervention. • Build and integrate advanced AI coding agents into our internal SDLC to automate code generation, script refactoring, and automated code reviews. • Develop AI agents that can look at code changes, understand the context, and automatically generate, run, and fix integration and end-to-end tests. • Build agentic workflows that monitor production logs, identify platform anomalies, and autonomously execute initial triage, root-cause analysis, and patch recommendations. • Create robust function-calling architectures and tool-use layers, allowing AI agents to securely interact with our databases, APIs, and git repositories. • Implement advanced state machines and memory persistence frameworks to ensure agents maintain context and recover gracefully during long-running tasks. • Build strict deterministic guardrails around autonomous agents to prevent infinite loops, toxic outputs, or unauthorized code execution in production environments. • Constantly identify manual bottlenecks in engineering and product operations, building quick agentic prototypes to automate them away entirely.

🎯 Requirements

• Strong software engineering roots (Python, Go, or Java) with a massive pivot into agentic frameworks and autonomous software systems. • Deep, hands-on experience building with advanced agent frameworks (such as LangGraph, CrewAI, AutoGen, or custom-built agent loops). You must deeply understand concepts like ReAct, Plan-and-Solve, and multi-agent collaboration. • You have a proven track record of using and building custom AI development tools. You know how to maximize developer velocity using advanced prompting, repository-level context indexing, and automated workflows. • You hate repetitive tasks. Your first instinct when seeing a manual engineering process (like writing test cases or triaging logs) is to build an AI agent to do it for you. • You care about execution and reliability. You know how to make inherently non-deterministic agents behave reliably in an enterprise software environment. • Exceptional English skills (written and spoken) to collaborate with engineering teams and show them how to adopt your automation tools.

🏖️ Benefits

• The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. • Collaboration with a passionate and diverse team. • Competitive salary and benefits package. • Flexible work arrangements (remote or hybrid). • Opportunities for professional growth and development.