AI Development Platform Engineer

We are seeking a skilled and innovative AI Development Platform Engineer to join our advanced technology team.

In this role, you will drive the design, development, and deployment of scalable, secure, and high-performing AI / ML platforms—focusing especially on Generative AI.

You will play a critical role in building tools and services that enable teams to leverage large language models (LLMs), vector databases, container orchestration, and cloud-native capabilities.

Key Responsibilities :

• Develop reusable tooling and self-service platforms for deploying enterprise AI solutions.
• Build common frameworks to support scalable deployment of GenAI use cases using pre-trained and fine-tuned models.
• Collaborate across development teams to enhance platform services, developer experience, and AI readiness.
• Utilize Kubernetes / OpenShift for building and orchestrating containerized workloads.
• Implement GitOps-based deployment strategies with tools like Helm, Kustomize, and JFrog Artifactory.
• Integrate with vector databases for embeddings and retrieval-augmented generation (RAG).
• Lead platform-level decisions including service auth, state management, observability, and reliability.
• Drive adoption of AI agent frameworks (Langchain, LangGraph) and orchestration techniques.
• Maintain observability across systems using OpenTelemetry tools (Grafana, Loki, Prometheus, Cortex).
• Participate actively in Agile / Scrum ceremonies, helping foster a DevOps-first, collaborative culture.

Required Qualifications :

Preferred Qualifications :

Educational Requirements :

Bachelor's or Master’s degree in Computer Science, AI / ML, or related field, or equivalent professional experience.

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