01Overview
Python Developer (GenAI)
Job Summary
We are seeking a skilled and innovative Python Developer with Generative AI expertise to join our technology team. The ideal candidate will be responsible for developing AI-powered applications, integrating Large Language Models (LLMs), building intelligent automation solutions, and creating scalable backend services using Python. The role requires hands-on experience with up-to-date AI frameworks, prompt engineering, and deploying GenAI solutions in production environments.
Key Responsibilities
- Design, develop, and maintain Generative AI applications using Python.
- Build and deploy AI-powered solutions leveraging Large Language Models (LLMs) such as GPT, Llama, Claude, or similar models.
- Develop and integrate RESTful APIs and backend services for AI applications.
- Implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
- Work with AI frameworks such as LangChain, LlamaIndex, and Hugging Face.
- Collaborate with data scientists, product managers, and engineering teams to define and deliver AI-driven solutions.
- Optimize prompts, workflows, and model performance to improve response quality and efficiency.
- Monitor, troubleshoot, and enhance AI applications in production environments.
- Ensure scalability, security, and reliability of AI systems.
- Document technical designs, processes, and deployment procedures.
Required Skills & Qualifications
- Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- 3 to 5 years of experience in Python development.
- Strong proficiency in Python and object-oriented programming.
- Hands-on experience with Generative AI and Large Language Models (LLMs).
- Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or similar AI platforms.
- Knowledge of LangChain, LlamaIndex, Hugging Face, or equivalent AI orchestration frameworks.
- Experience building and consuming REST APIs.
- Strong understanding of vector databases such as Pinecone, ChromaDB, FAISS, or Azure AI Search.
- Familiarity with SQL and NoSQL databases.
- Proficiency with Git and software development best practices.
Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
- Knowledge of RAG architecture, prompt engineering, and AI agent frameworks.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with machine learning concepts and model fine-tuning.
- Experience with NLP, embeddings, semantic search, and AI observability tools.
- Knowledge of microservices architecture and event-driven systems. .
