Generative AI Engineer (OpenAI)

Responsibilities Develop and implement assistant workflows using function and tool calling, returning structured JSON responses.

Build and package reusable agent skills and lightweight tool adapters for enterprise use.

Create RAG pipelines, including data ingestion, chunking, embedding, and indexing, with quality and freshness checks.

Support ChatGPT Enterprise deployments, including workspace setup, SSO/SCIM onboarding, role-based access configuration, and basic custom GPT administration.

Assist with fine-tuning workflows, including dataset preparation, supervised runs, and performance tracking.

Implement operability measures—add telemetry for latency, token usage, and cost metrics; write smoke tests and maintain troubleshooting documentation.

Use frameworks such as LangChain, LangGraph, or Semantic Kernel to build and integrate AI applications.

Connect assistants with enterprise tools (e.g., Teams, SharePoint) using Copilot Studio connectors or lightweight app integrations.

Deploy and manage environments via CI/CD pipelines (GitHub Actions, Azure DevOps) and learn Infrastructure as Code (IaC) using Terraform or Bicep.

Requirements

Graduate in Diploma and specialized in Information Technology/Computer Science/Engineering/Mathematics or relevant.

Strong programming skills in Python with knowledge of REST APIs, JSON, Git, and basic SQL.

Academic or internship experience working with OpenAI APIs, including prompting, function calling, RAG, or assistant frameworks.

Familiarity with CI/CD concepts and enthusiasm to learn IaC, observability, and ChatGPT Enterprise administration.

Experience with LangChain, LangGraph, or Semantic Kernel.

Familiarity with Azure Cognitive Search, Redis, or pgvector for vector-based retrieval.

Exposure to fine-tuning pipelines or Copilot Studio connectors.

Practitioner-level understanding of major cloud platforms (Azure, AWS, or GCP).