Principal Software Engineer (Agentic Integration)

• 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
• Contribute and evolve existing agentic capabilities such as SAST AI Fix Recommendation , improving remediation guidance and automated fix generation for developers
• 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
• 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
• Strong API and systems design skills — experience shipping integrations, SDKs, reusable connectors, or canonical models consumed across systems of record and by external developers
• Experience with CI/CD, Git workflows, and modern developer tooling
• 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
• Strong cross-functional communication skills — comfortable working across Product, Applied AI, and platform engineering
• Broad, well-rounded software engineering background (8+ years) — Python, TypeScript/JavaScript, Go, APIs, distributed systems, and modern SCMs (GitLab, GitHub, Bitbucket, Azure)

• Experience in Application Security (SAST, SCA, DAST, ASPM) or DevSecOps tooling
• Experience with AI-assisted development tools (GitHub Copilot, Claude Code, Cursor, or similar)
• Deep technical depth in LLM integration — vector databases/retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector), function calling/tool use, and structured output parsing
• Experience publishing and maintaining developer-facing packages (npm, PyPI, etc.)
• Background contributing to open-source developer tooling or SDKs

Black Duck is an equal opportunity employer.

We consider all applicants for employment without regard to race, color, national origin, religion, sex, gender identity or expression, age, disability, sexual orientation, veteran or military service status, or any other characteristic protected by applicable law.

Black Duck complies with all applicable laws prohibiting employment discrimination in every jurisdiction where it operates and provides reasonable accommodations to individuals with disabilities in accordance with applicable law.