AI - Technical Lead

3 weeks ago

Chennai Guindy, India Jobted IN C2 Full time

Overview: Prodapt is looking for a strong backend and platform-focused engineer to join the AI Gateway team. This individual will play a key role in the end-to-end design, development, and deployment of GenAI services built on Google Cloud Platform (GCP), leveraging cloud-native architecture and scalable infrastructure. This is a high-impact engineering role suited for someone with a strong backend foundation, platform thinking, and a passion for building robust, production-grade GenAI applications. Responsibilities: - Lead and contribute to the design, development, and deployment of GenAI applications using Kubernetes (GKE) and modern cloud-native patterns. - Build and maintain CI/CD pipelines using tools like Argo CD, GitHub Actions, and infrastructure-as-code practices. - Collaborate with ML engineers, infra teams, and product stakeholders to deliver secure, scalable, and observable services. - Write clean, maintainable, and efficient code primarily in Python and other backend languages. - Support front-end development and integration efforts where needed to ensure smooth end-to-end delivery. - Provide technical leadership to a smaller group or squad through code reviews, mentorship, and architecture guidance. - Monitor and optimize application health and performance using tools like Splunk and Datadog. Requirements: What We're Looking For: - Strong proficiency in cloud-native architecture and scaling solutions using GCP and GKE. - Experience with CI/CD pipelines, ideally with Argo CD, GitHub Actions, and containerized deployments (Docker, Kubernetes). - Proficient in Python and familiar with backend frameworks and patterns. - Familiarity with observability and monitoring tools like Splunk, Datadog, or equivalents. - Exposure to full-stack development (e.g., React, TypeScript) is a plus. - Strong analytical, debugging, and problem-solving skills. - Excellent communication and collaboration abilities; ability to work across cross-functional teams. ---------------------------------------- Bonus Points: - Experience working with LLMs or Generative AI frameworks (e.g., LangChain, LlamaIndex). - Prior contributions to AI infrastructure, MLOps, or large-scale microservices. - Proven ability to lead or mentor junior developers and influence engineering practices.

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