Python Developer (Gen AI)

Job Title: Python Developer (Gen AI)

Job Summary

We are seeking an innovative and skilled Python Developer with expertise in Generative AI (GenAI) to design and build intelligent applications powered by large language models (LLMs) and AI frameworks. The ideal candidate will have strong backend development experience in Python along with hands-on exposure to AI/ML models, prompt engineering, and GenAI tools.

Key Responsibilities

• Develop and deploy applications using Python focused on AI-driven solutions
• Integrate Generative AI models (LLMs) such as OpenAI, Azure OpenAI, or open-source models (LLaMA, Hugging Face)
• Design and implement prompt engineering strategies for optimized AI outputs
• Build and manage AI-powered APIs and microservices
• Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and retrieval
• Develop RAG (Retrieval-Augmented Generation) pipelines
• Fine-tune and evaluate machine learning and AI models where applicable
• Collaborate with data scientists, ML engineers, and product teams
• Ensure scalability, performance, and security of AI applications
• Monitor model performance and continuously improve outputs
• Stay up to date with the latest trends in GenAI and AI ecosystems

Required Skills & Qualifications

• Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field
• Strong proficiency in Python
• Experience with Generative AI / Large Language Models (LLMs)

• Hands-on experience with frameworks such as:

• LangChain / LlamaIndex

• Transformers (Hugging Face)

• Understanding of prompt engineering techniques
• Experience building REST APIs (FastAPI, Flask, Django)
• Familiarity with machine learning concepts and NLP basics
• Knowledge of Git and version control
• Strong problem-solving and analytical skills

Preferred Skills

• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of Azure OpenAI / OpenAI APIs
• Experience with vector databases and embeddings
• Familiarity with MLOps pipelines and model deployment
• Experience with Docker, Kubernetes
• Understanding of data pipelines and ETL processes
• Exposure to chatbot or conversational AI development