Senior Mobile Developer at Fligoo leading the migration of an Android app to React Native. Focused on implementing IoT solutions for industrial metrics and KPIs.
About the role
- AI Application Engineer responsible for developing and maintaining backends for AI applications using Python and relevant frameworks. Collaborating on full software lifecycle with cloud deployment expertise.
Responsibilities
- Develop and maintain AI applications using Flask, Django, or FastAPI frameworks.
- Participate in the full software development lifecycle from requirements gathering to deployment.
- Deliver at least 2-3 projects as a developer using these frameworks, demonstrating proficiency and understanding of best practices.
- Demonstrate proficiency in core Python concepts including iterators, generators, object-oriented programming (OOP), Python shell (REPL), and object-relational mapping (ORM). Implement efficient data structures and handle exceptions effectively.
- Possess knowledge of contemporary Python libraries for LM (Language Model) orchestration such as LangChain, Llamaindex, Autogen and TaskWeaver etc. Utilize these libraries to handle complex scenarios and optimize AI applications effectively. Implements AutoGen framework for agentic flows using Python.
- Build and deploy AI applications using cloud services provided by Azure or AWS. Configure and manage cloud infrastructure to ensure scalability, reliability, and performance of deployed applications. Stay updated with the latest trends and best practices in cloud computing.
Requirements
- 7-10 years of overall technology experience in core application development
- Must have : Flask / Django / Fast API development expertise with least 2-3 project delivered as a Python application developer.
- Must have : Core Python – Iterators, Generators , OOP concepts, Python Shell (REPL) and Object Relational Mapper, Data structure and Exception handling etc.
- Must have : AI Search, Vector Database creation for relational databases and unstructured data.
- Must have : Azure app services expertise in terms of building and deploying AI apps using cloud services. Integrate with data stores like PostgreSQL, MySQL, MongoDB, etc. Build queries, schemas, and services to interact with data in the application. Implement web security practices like authentication, authorization, input validation, etc. to protect user data and system integrity. Use libraries like Passport.js for authentication.
- Develop workflows and integrations between systems.
- Work with developers to connect front-end and mobile apps to the backend API.
- Deploy backend services on platforms like Heroku, AWS, GCP or Azure. Work with DevOps engineers to set up and monitor infrastructure. (Preferred is Microsoft Azure)
- Maintain documentation for API specifications, system designs, deployment processes, etc. Documents help onboard new developers to work with the systems.
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