Generative AI Engineer I - Python

Description :

PX-Gen AI Engineer-1

Minimum Experience : 5

Maximum Experience : 7

Mandatory Skills :

- Python

- Gen AI

- AWS

- Agentic AI

- Strong ML fundamentals

- Falsk

- FastAPI

- PyTorch

Required Skills & Technologies :

- Programming Languages : Python

- Cloud Platforms : Azure, AWS

- AI Frameworks & Tools : Langchain, LangGraph, PyTorch, SpaCy, DSPy

- Web Frameworks : Flask, FastAPI

- Containerization : Docker

Model Fine-Tuning & Training :

- Fine-tune Large Language Models (LLMs) to optimize their performance for specific tasks and improve overall model accuracy.

Model Deployment :

- Deploy generative AI models into production environments using cloud platforms (Azure, AWS)and containerization technologies such as Docker.

Cloud Integration :

- Design and implement end-to-end AI solutions using services from Azure or AWS Marketplace, including but not limited to Cognitive Services, Object Storage, API Management (APIM), and App Services.

NLP & Search Solutions :

- Implement NLP-based solutions and develop indexing/search capabilities, with in-depth experience in at least one iindexing systems.

API Development :

- Build and maintain RESTful APIs using frameworks like Flask or FastAPI to serve AI models and integrate them with external systems.

LLM Evaluation & Agentic AI :

- Evaluate the performance of LLMs for varioususe cases and explore the potential of agentic AI to improve system efficiency.

Continuous Learning & Research :

- Stay up-to-date with the latest advancements in Generative AI, NLP, and related fields, and incorporate these advancements into the development process

Search & Indexing :

- Experience with at least one indexer

Additional :

- MCP

- API Development

- LLM Evaluation

- Agentic AI

Preferred Skills :

- Familiarity with other cloud-based tools and services for AI and ML development

- Knowledge of best practices for deploying AI models at scale

Education Qualification :

- Engineering or Masters in Computer Science