Job Description

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 Lang Chain, CrewAI, Auto Gen.
- 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.
- Lang Chain, Rebuff, LCEL, Guardrails, Lang Smith.
- CI/CD tooling, Open Telemetry, workflow orchestration (Airflow, Prefect).
- Experience implementing agent safety using Rebuff, Guardrails, or similar tools.
- Familiarity with one or more orchestration frameworks: Lang Chain, CrewAI, Auto Gen (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