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:
Bachelor s degree in Engineering or related field.
5+ years in backend/devops roles, with 2+ years in AI workflow orchestration.

📌 Llm Applications Engineer Kochi
🏢 Gadgeon Smart Systems
📍 Kochi