Gen AI Python Developer
About the CompanyAbout the RoleRole Title - GenAI Application Developer (Python)Experience –7 to10 YearsRole OverviewWe are looking for an experienced GenAI Application Developer (Python) to design, develop, and deploy enterprise-grade Generative AI applications and services. The ideal candidate will have strong expertise in Python-based backend development, GenAI frameworks, Retrieval Augmented Generation (RAG), vector databases, cloud-native architectures, and microservices deployment on AWS. This role requires hands-on experience integrating Large Language Models (LLMs) into business applications, building scalable APIs, and developing secure, high-performance AI solutions that support enterprise use cases such as intelligent assistants, document processing, knowledge management, search, summarization, and conversational AI.ResponsibilitiesGenerative AI Application DevelopmentDesign and develop enterprise-grade GenAI applications using Python.Integrate Large Language Models (LLMs) through platforms such as OpenAI, AWS Bedrock, Azure OpenAI, or Google Vertex AI.Develop conversational AI, document intelligence, summarization, knowledge search, and Q&A solutions.Implement prompt engineering strategies and optimize LLM interactions.Backend & API DevelopmentBuild scalable RESTful and asynchronous APIs using FastAPI and Python.Design microservices architectures for AI-powered applications.Develop reusable APIs and services that support enterprise integrations.Ensure application scalability, security, performance, and reliability.Retrieval Augmented Generation (RAG)Design and implement RAG-based solutions using enterprise knowledge repositories.Develop document ingestion, chunking, embedding, indexing, and retrieval pipelines.Integrate vector databases and semantic search capabilities.Optimize retrieval accuracy and response quality.Cloud & DeploymentContainerize applications using Docker.Deploy and manage applications on AWS environments using ECS, EKS, Kubernetes, or serverless services.Implement CI/CD pipelines and DevOps best practices.Monitor and optimize cloud-based AI workloads.Data Integration & PersistenceDesign data access layers using SQL and NoSQL databases.Integrate enterprise applications, APIs, and data sources.Implement secure storage and retrieval mechanisms for application data and embeddings.Ensure data reliability, consistency, and compliance with enterprise standards.Collaboration & Technical LeadershipPartner with architects, product owners, data engineers, and business teams to deliver AI solutions.Participate in design reviews and architectural discussions.Contribute to coding standards, documentation, and development best practices.Mentor junior developers and support knowledge sharing initiatives.QualificationsBachelor's degree in Computer Science, Engineering, Information Technology, or a related field.7-10 years of software development experience with strong expertise in Python.Proven experience building scalable backend applications using FastAPI.Experience integrating GenAI platforms such as:OpenAIAzure OpenAIAWS BedrockGoogle Vertex AIStrong understanding of Large Language Models (LLMs) and prompt engineering.Experience developing Retrieval Augmented Generation (RAG) applications.Hands-on experience with vector databases such as:PineconeOpenSearchWeaviateChromaFAISSExperience deploying containerized applications using Docker and Kubernetes.Hands-on experience with AWS services and cloud-native development.Strong experience with both relational and NoSQL databases.Required SkillsTechnical SkillsProgramming LanguagesPythonSQLGenAI & LLM TechnologiesOpenAIAzure OpenAIAWS BedrockVertex AIPrompt EngineeringAI AgentsFrameworksFastAPILangChainLangGraphLlamaIndexRAG & Vector DatabasesPineconeOpenSearchChromaWeaviateFAISSCloud & DevOpsAWSECSEKSKubernetesDockerCI/CD PipelinesDatabasesPostgreSQL