Gen AI / Python AI Engineer

Design, develop, and deploy Generative AI solutions using Python.

Develop and integrate AI/ML models into applications and production systems.

Work on model development, training, fine-tuning, optimization, and evaluation.

Build scalable and reliable Python-based AI applications and services.

Integrate LLMs and Generative AI models with business applications.

Develop APIs and services for AI/ML model integration.

Work with teams to deliver end-to-end AI solutions, from development to production deployment.

Optimize AI applications for performance, scalability, latency, and cost.

Troubleshoot and improve AI/ML systems in production.

Follow best practices for code quality, testing, deployment, monitoring, and reliability.

Required Skills

Strong programming experience in Python.

Hands-on experience with Generative AI / LLMs.

Good understanding of AI/ML concepts and model development.

Experience with machine learning/deep learning frameworks.

Understanding of model deployment and integration.

Experience building AI-powered applications and APIs.

Knowledge of REST APIs, FastAPI/Flask, or similar frameworks.

Understanding of production AI systems and scalable architectures.

Good problem-solving and analytical skills.

Preferred GenAI Skills
Knowledge or hands-on experience with the following would be beneficial:

Large Language Models (LLMs)

Prompt Engineering

RAG (Retrieval-Augmented Generation)

Embeddings

Vector databases

LangChain / LlamaIndex

OpenAI or other LLM APIs

Fine-tuning / model customization

AI agents and tool/function calling

LLM evaluation and monitoring

Deployment & Production
The candidate should understand how to take an AI solution from development to production, including:

API development

Docker/containerization

Cloud deployment

Model serving

Logging and monitoring

Performance optimization

Scalability

Security

CI/CD basics

Overall Requirement
The main expectation is that the candidate should be able to develop a Generative AI solution using Python, integrate it into an application, and deploy it as a reliable production-ready service.
Interview focus: Based on this JD, I would prepare especially for Python + GenAI/LLM + RAG + ML fundamentals + API development + deployment, with practical project-based questions.