- Design and implement robust AI models and Python-based applications that solve critical business challenges and improve operational efficiency for our global client base.

- Engineer and maintain automated CI/CD pipelines to ensure the seamless deployment, monitoring, and scaling of machine learning models in production environments.

- Lead the integration of LLMs and Generative AI frameworks into existing software ecosystems to provide advanced automation and predictive capabilities.

Must-Haves :

- Conversational AI & RAG : Prior hands-on experience working with conversational AI platforms and Retrieval-Augmented Generation (RAG) agents.

- Core Development : Strong proficiency in Python.

- CI/CD & Version Control : Familiarity with standard CI/CD processes and experience utilizing source code management systems (GitHub, Bitbucket, GitLab, etc.).

- Soft Skills : Strong communication and collaborative skills to work seamlessly across distributed teams.

Major Pluses :

- DevOps Infrastructure : Direct experience building and managing CI/CD pipelines using infrastructure-as-code and automation tools (specifically Terraform and Jenkins).

- Cloud Architecture : Working experience within major cloud environments (GCP, AWS, or Azure).

- Contact Center Tech : Working knowledge of modern IVR and contact center platforms (e.g., Dialogflow, CCAIP, Genesys).