AES - DE - Generative AI Application Developers

Strong proficiency in Python and backend frameworks (FastAPI, Flask)

Solid understanding of SQL/PLSQL and data modeling

Familiarity with Celery, Redis, and asynchronous processing

Proficient with uv for lightweight Python environment management

Pydantic for data validation and ensuring type safety and clarity in API schemas

Hands-on experience with Docker, Jenkins, and CI/CD workflows

Experience with Git and collaborative development workflows

Hands-on experience working in Linux-based environments

Experience with evaluation frameworks such as Opik and RAGS

Hands-on with Generative AI (GenAI) workflows, including prompt engineering, and integration with LLM APIs

Agentic AI development using frameworks like LangChain and LangGraph

Built custom LangChain agents for document Q&A, data extraction, and workflow orchestration using memory, tools, and chains

Exposure to Azure and AWS services and deployment strategies

Strong testing mindset with experience in unittest and pytest

Excellent problem-solving and communication skills.

Knowledge of API security and performance optimization

Experience with monitoring tools and logging frameworks

Familiarity with Agile methodologies and DevOps culture