Role overview
- Hands-on engineering background (you build systems yourself): strong Python plus one backend stack (TypeScript/Node, .NET, or similar).
- Experience deploying LLM applications in real orgs: prompts, tools/function calling, retrieval, evaluation, and iteration loops.
- Experience with LLM orchestration and building multi-step workflows (agents, DAGs, tool use, human approvals).
- Ability to design and implement APIs and integrations across enterprise systems (auth, permissioning, data flow, reliability).
- Practical experience with LLM observability and evaluation (quality metrics, regression tests, traces, cost controls).
- Comfortable in client-facing or stakeholder-heavy environments: can explain what's possible and what's not clearly.
What we're looking for
- Multi-agent systems in production, or agent frameworks at scale.
- Enterprise automation/workflow experience (process automation, knowledge base integration, CRM/ERP or content systems).
- Experience in regulated industries (healthcare/life sciences) including audit trails and compliance constraints.
- Azure ecosystem experience (Azure AI Foundry or Azure-hosted LLM stacks), plus identity/permissions patterns.
- Contributions to internal developer platforms, reusable tooling, or open-source.
- You move fast but don't break trust: pragmatic engineering, strong prioritization, and reliable delivery.
- You like ambiguity and can turn it into a working system.
- You're energized by bridging demo and deployment and owning the full lifecycle.
BGB Group is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.
Tags & focus areas
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