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!