Posted:None|
Platform:
Hybrid
Full Time
About the Role
The LLM Applications Engineer transforms AI prototypes into modular, secure, and production-ready workflows. This role focuses on orchestrating AI agents, implementing observability, and building toolkits that accelerate internal and external adoption.
Key Duties/ Responsibilities
• Develop agent orchestration using frameworks like LangChain, CrewAI, AutoGen.
• Build reusable APIs, SDKs, and configuration layers for internal consumption.
• Implement prompt safety measures and fallback handling using Rebuff, Guardrails AI.
• Ensure agent workflows are observable and CI/CD friendly.
• Collaborate with platform and backend engineers for deployment enablement.
Leadership Skills:
• Ownership of agent toolkit delivery.
• Cross-functional collaboration with platform and AI scientists.
• Documentation and internal adoption support.
Required Technical Skills:
• Node.js, Python, Docker, REST APIs.
• LangChain, Rebuff, LCEL, Guardrails, LangSmith.
• CI/CD tooling, OpenTelemetry, workflow orchestration (Airflow, Prefect).
• Experience implementing agent safety using Rebuff, Guardrails, or similar tools.
• Familiarity with one or more orchestration frameworks: LangChain, CrewAI, AutoGen (or equivalents).
Qualification: 5+ years in backend/devops roles, with 2+ years in AI workflow orchestration.
Gadgeon Smart Systems
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