Black Duck Software, Inc.
Principal Software Engineer (Agentic Integration)
Calgary, AB · Principal
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About the role
- This is a hands-on, senior technical role built for someone who takes initiative.
Responsibilities
- Own the "big picture" solution architecture for the integrations team - designing and hardening how agentic workflows, MCP surfaces, and multi-agent orchestration patterns (task decomposition, tool use, agent hand-off, frameworks such as Pydantic AI, LangChain, and LangGraph) fit together as a coherent system across IDEs, CI/CD, and pull request workflows.
- This is the core capability the role exists to fill, more so than general programming depth on its own.
- Identify new opportunities to bring Black Duck's capabilities into agentic developer and CI workflows, and take the initiative to prototype, pitch, and build them - this role is as much about proposing what we should build next as executing on what's already defined
- Design, build, and implement agentic workflows and integrations - spanning agents, skills, MCP-based tooling, and APIs - that bring Black Duck's AppSec products (SAST, SCA, DAST) into developer tooling, with strong attention to governance, permissions, and auditability
- Own the technical direction and continued development of the Black Duck MCP Gateway, expanding the surface area of tools and capabilities it exposes to AI agents and IDEs
- Mentor engineers on agentic system design and modern integration patterns
- Hands-on experience building agentic AI systems - multi-agent orchestration, tool use, task decomposition (e.g., LangChain, PydanticAI, LangGraph, or equivalent)
- Experience building or integrating Model Context Protocol (MCP) servers, or comparable plugin/tool architectures in AI assistants, IDEs, and CI/CD workflows
- Strong API and systems design skills - experience shipping integrations, SDKs, reusable connectors, or canonical models consumed across systems of record and by external developers
- A demonstrated track record of taking initiative and owning technical projects end-to-end - identifying opportunities, proposing solutions, and driving delivery from design through production with minimal oversight
Requirements
- 2+ years hands-on experience applying LLMs into production workflows - prompt engineering, RAG pipelines, API-based model integration, agent eval frameworks - with real examples, not just prototypes
- Experience with CI/CD, Git workflows, and modern developer tooling
This listing is sourced directly from Black Duck Software, Inc.'s careers page and normalized into a canonical job model.