Sr. GenAI Engineer

BlackCube Labs; Minnesota; Hybrid; USD 140,000 - 190,000; Full time

Job summary

BlackCube Labs seeks a GenAI Engineer to design and build enterprise-scale, secure AI platforms supporting autonomous agents across multiple business domains. You’ll focus on orchestration, evaluation, monitoring, and governance to enable standardized enterprise practices.

The role requires 8+ years experience, Angular frontend work, and a deep understanding of agent-based systems, observability, and security. Hybrid work from Edina, MN and Chicago, IL is offered.

Qualifications

• Experience building scalable, extensible AI platforms.
• Centralized gateway for AI model interactions, tools and security.
• Agent Harness Engineering and closed-loop evaluation.
• Reusable platform for multiple domains with standardized enterprise patterns.
• Designing agentic workflows and multi-agent orchestration.
• Observability, resiliency, and governance focus.
• Frontend tech with Angular, HTML/CSS/JS/TS
• Familiarity with front-end tooling like Webpack
• Apply SOLID and Domain-Driven Design principles
• Maintain currency in tech trends and practices.

Responsibilities

• Build enterprise-scale AI platforms with governance and observability.
• Engineer multi-agent orchestration and agentic workflows.
• Develop centralized gateway for model interactions and tooling.
• Ensure security, access control, and policy enforcement across platforms.
• Collaborate with cross-functional teams to enable autonomous agents.

Skills

Agent platforms

Observability

Security & governance

Agent orchestration

Frontend development

SOLID principles

DDD

Continuous learning

Education

Engineering degree

Technical certifications

Tools

Angular

HTML/CSS/JS/TS

Webpack

Job description

What is in it for you?

Seeking an GenAI Engineer with expertise in GenAI, RAG pipelines, Agentic AI, Python, Knowledge Graphs, APIs, and orchestration frameworks to build enterprise-scale, secure, observable, and governed multi-agent platforms enabling autonomous AI solutions through standardized orchestration, evaluation, monitoring, and operational excellence.

Experience

8+ Years

Location

Edina, MN

Chicago, IL

Hybrid – 3 days' Work from Office

Duration

C2H with client

Educational Qualifications

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills

Mandatory skills

• The ideal engineer will have experience building scalable, extensible, and technology-agnostic AI platforms that allow different teams and business domains to develop agents independently while adhering to common enterprise standards for interoperability, security, governance, reliability, and operational management.
• The platform should also provide a centralized gateway for AI model interactions, agent tools, and external services, ensuring consistent security, governance, authentication and authorization, access control, throttling, monitoring, and policy enforcement.
• The role should also focus on building production-grade AI engineering capabilities, including Agent Harness Engineering, automated and closed-loop evaluation, feedback loops, prompt and model evaluation, observability, guardrails, resiliency, and continuous improvement mechanisms.
• The goal is to create a reusable platform where multiple business domains can build, deploy, monitor, and operate autonomous agents using standardized enterprise patterns rather than creating isolated agent solutions.
• The engineer should have experience designing agentic workflows and multi-agent orchestration, including both event-driven and workflow-based patterns. The platform should support scalable communication and coordination between agents, enterprise systems, tools, APIs, and diverse data sources. A
• key responsibility will be establishing enterprise-grade observability across the platform, including centralized instrumentation, tracing, operational metrics, performance monitoring, error tracking, and visibility into agent execution and behavior. The platform should enable teams to build, deploy, and operate AI agents using a variety of development approaches and frameworks while providing a standardized enterprise foundation for orchestration, integration, governance, security, and observability.
• Experience with frontend technologies, particularly Angular. Develop user interfaces using HTML, CSS, and JavaScript/TypeScript.
• Familiarity with front-end frameworks and build tools (e.g., Webpack).
• Software Design and Best Practices: Apply software design principles such as SOLID and Domain-Driven Design.
• Understand code patterns and practices.
• Maintain currency in technical skills and industry trends.
• US and those authorized to work in the US are encouraged to apply. We are unable to sponsor visas currently.