Gen AI Developer

Communication and Collaboration SkillsAbility to communicate and collaborate with other programmers, researchers, or stakeholders, and be able to explain the technical details, challenges, and results of their generative AI projects.Ability to work in a highly dynamic fast paced environment were priorities can change frequently.Architecture and Design SkillsShould have a strong background in computer science, mathematics, and statistics, as well as a solid understanding of the principles and techniques of machine learning and deep learning.Should be proficient in programming languages, such as Python, and relative frameworks that are commonly used for developing and deploying generative AI models.Should be familiar with the state-of-the-art research and developments in generative AI, such as the latest models, architectures, algorithms, and datasets.Ability to take an idea from conception to delivery, working with team members to ideate creative, low-cost, iterative solutions to requested features and defects. Python KnowledgeCore Python ConceptsProficiency in Python syntax and semanticsUnderstanding of data types, variables, and operatorsMastery of control structures (if statements, loops)Knowledge of functions, lambdas, and higher-order functionsFamiliarity with modules and packagesObject-Oriented Programming (OOP)Understanding of classes, objects, inheritance, polymorphism, and encapsulationAbility to design and implement class hierarchiesError Handling and ExceptionsUnderstanding of exception handling using try, except, finally blocksAbility to create custom exceptionsFile I/OReading from and writing to filesWorking with different file formats (e.g., CSV, JSON)FastAPI KnowledgeAPI DevelopmentBuilding RESTful APIs using FastAPICreating and handling endpoints (GET, POST, PUT, DELETE)Request Validation and SerializationUsing Pydantic models for data validation and serializationImplementing request and response modelsDependency InjectionUnderstanding FastAPI's dependency injection systemCreating and using dependenciesAsynchronous ProgrammingWriting asynchronous endpoints with async/awaitUnderstanding the event loop and concurrencyMiddleware and CORSCreating and using middlewareConfiguring Cross-Origin Resource Sharing (CORS)LangChain KnowledgeIntegrating Language ModelsUnderstanding the purpose and functionality of LangChainBuilding applications that integrate language models with various tools and data sourcesChain ManagementCreating and managing chains of tools and modelsImplementing complex workflows using LangChainTool ExecutorsUnderstanding the concept of Executors in LangChainDesigning use cases that benefit from ExecutorsAWS KnowledgeServerless ArchitectureUnderstanding the principles of serverless computingDesigning and deploying AWS Lambda functionsEvent-Driven ProgrammingCreating and managing event sources for Lambda functions (e.g., S3, DynamoDB, API Gateway)Handling events and triggersLambda Configuration and DeploymentSetting up Lambda execution roles and permissionsDeploying Lambda functions using AWS Management Console, CLI, and infrastructure as code (e.g., AWS CloudFormation, Terraform)OAuth2 Flows KnowledgeOAuth2 FundamentalsUnderstanding the OAuth2 authorization frameworkFamiliarity with key concepts: access tokens, refresh tokens, scopesOAuth2 FlowsKnowledge of different OAuth2 flows: Authorization Code Flow, Client Credentials Flow, Implicit Flow, and Resource Owner Password Credentials FlowImplementing OAuth2 authentication and authorization in applicationsToken ManagementHandling token generation, storage, and validationImplementing token refresh mechanismsAdditional SkillsVersion Control & CI/CDProficiency with Git and version control practicesUnderstanding and abilities to use Jenkins for CI/CD pipelinesTesting and DebuggingWriting unit tests and integration testsUsing testing frameworks (e.g., pytest)Debugging techniques and toolsDocumentationWriting clear and comprehensive documentationUsing tools like Swagger/OpenAPI for API documentationCollaboration ToolsExperience with collaboration tools (e.g., JIRA, Confluence)

Key Skills

• Java
• GCP