Gen AI developer(10+years of experience)

Role: Gen AI developer Location: Remote, it will be nice to have local to St Louis... Open on both w2 and c2c. Skills for a Generative AI Developer Communication and Collaboration Skills • Ability 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 Skills • Should 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 Knowledge • Core Python Concepts • Proficiency in Python syntax and semantics • Understanding of data types, variables, and operators • Mastery of control structures (if statements, loops) • Knowledge of functions, lambdas, and higher-order functions • Familiarity with modules and packages • Object-Oriented Programming (OOP) • Understanding of classes, objects, inheritance, polymorphism, and encapsulation • Ability to design and implement class hierarchies • Error Handling and Exceptions • Understanding of exception handling using try, except, finally blocks • Ability to create custom exceptions • File I/O • Reading from and writing to files • Working with different file formats (e.g., CSV, JSON) FastAPI Knowledge • API Development • Building RESTful APIs using FastAPI • Creating and handling endpoints (GET, POST, PUT, DELETE) • Request Validation and Serialization • Using Pydantic models for data validation and serialization • Implementing request and response models • Dependency Injection • Understanding FastAPI's dependency injection system • Creating and using dependencies • Asynchronous Programming • Writing asynchronous endpoints with async/await • Understanding the event loop and concurrency • Middleware and CORS • Creating and using middleware • Configuring Cross-Origin Resource Sharing (CORS) LangChain Knowledge • Integrating Language Models • Understanding the purpose and functionality of LangChain • Building applications that integrate language models with various tools and data sources • Chain Management • Creating and managing chains of tools and models • Implementing complex workflows using LangChain • Tool Executors • Understanding the concept of Executors in LangChain • Designing use cases that benefit from Executors AWS Knowledge • Serverless Architecture • Understanding the principles of serverless computing • Designing and deploying AWS Lambda functions • Event-Driven Programming • Creating and managing event sources for Lambda functions (e.g., S3, DynamoDB, API Gateway) • Handling events and triggers • Lambda Configuration and Deployment • Setting up Lambda execution roles and permissions • Deploying Lambda functions using AWS Management Console, CLI, and infrastructure as code (e.g., AWS CloudFormation, Terraform) OAuth2 Flows Knowledge • OAuth2 Fundamentals • Understanding the OAuth2 authorization framework • Familiarity with key concepts: access tokens, refresh tokens, scopes • OAuth2 Flows • Knowledge of different OAuth2 flows: Authorization Code Flow, Client Credentials Flow, Implicit Flow, and Resource Owner Password Credentials Flow • Implementing OAuth2 authentication and authorization in applications • Token Management • Handling token generation, storage, and validation • Implementing token refresh mechanisms Additional Skills • Version Control & CI/CD • Proficiency with Git and version control practices • Understanding and abilities to use Jenkins for CI/CD pipelines • Testing and Debugging • Writing unit tests and integration tests • Using testing frameworks (e.g., pytest) • Debugging techniques and tools • Documentation • Writing clear and comprehensive documentation • Using tools like Swagger/OpenAPI for API documentation • Collaboration Tools • Experience with collaboration tools (e.g., JIRA, Confluence Apply Job!