Python AI Developer
Hariharan SUnited StatesSENIORPosted 10d ago
PythonAI/MLGenerative AIREST APIsJSONLLMsPrompt EngineeringEmbeddingsRAGContext ManagementLangChainLlamaIndexSemantic KernelVector DatabasesAzure AI SearchPineconeFAISSWeaviateChromaCloud AIAzureAWSGCPAI/ML FrameworksMLOpsLLM EvaluationSQLEnterprise Data IntegrationGitCI/CDDockerKubernetesAI SecurityResponsible AIData PrivacyGovernance
About the Role
We are looking for an experienced Python AI Developer to build and deliver enterprise-grade Generative AI applications using Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
Key Responsibilities
• Build and deliver enterprise-grade Generative AI applications
• Utilize Python, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG)
• Implement REST APIs and JSON
• Develop Generative AI applications using LLMs
• Apply prompt engineering, embeddings, RAG, and context management
• Work with LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks
• Utilize vector databases such as Azure AI Search, Pinecone, FAISS, Weaviate, or Chroma
• Gain cloud AI experience with Azure, AWS, or GCP
• Evaluate AI/ML frameworks, models, and LLMs
• Integrate SQL, enterprise data, Git, CI/CD, Docker, and Kubernetes
• Understand AI security, responsible AI, data privacy, and governance
Requirements
• 8+ years of software development experience
• Hands-on expertise in Python and AI/ML or Generative AI
• Strong Python programming and object-oriented programming skills
• Experience with REST APIs and JSON
• Development of Generative AI applications using LLMs
• Strong knowledge of prompt engineering, embeddings, RAG, and context management
• Experience with LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks
• Experience with vector databases such as Azure AI Search, Pinecone, FAISS, Weaviate, or Chroma
• Cloud AI experience with Azure, AWS, or GCP; Azure OpenAI is preferred
• Knowledge of AI/ML frameworks, model evaluation, MLOps, and LLM evaluation
• Experience with SQL, enterprise data integration, Git, CI/CD, Docker, and Kubernetes
• Understanding of AI security, responsible AI, data privacy, and governance
Banking, financial services, or other regulated-industry experience is an advantage.