Expert Backend Developer for AI-Powered Interview Platform
4 weeks ago
We are seeking a highly skilled Python Backend Engineer with a strong work ethic and a passion for technology to join our team at OpenIntervue, an AI-powered interview platform revolutionizing hiring.
Estimated Salary: $120,000 - $150,000 per year, depending on experience and qualifications.
About OpenIntervueOpenIntervue is an innovative company that utilizes AI to transform the hiring process. Our AI recruiter conducts end-to-end interviews with human-like intelligence, handling all sectors. In tech/non-tech hiring, our AI achieves 97.05% accuracy and administers live coding assessments.
We automate candidate screening, interview scheduling, and detailed reporting, enhancing efficiency, saving time, and reducing costs. Our solutions include efficient candidate assessment, informed decision-making, unified recruitment workflow, integrated communication, and time-saving features.
Job DescriptionThis role involves developing and maintaining backend services using Python and FastAPI, ensuring efficient code development, and contributing to rapid prototyping efforts. The ideal candidate should be familiar with OOPs style programming and have hands-on experience with Python web development frameworks.
Key Responsibilities:- Develop and maintain backend services using Python and FastAPI.
- Utilize rapid prototyping frameworks such as Streamlit to create proof-of-concept applications.
- Work with vector databases to manage and query large datasets.
- Implement Retrieval-Augmented Generation (RAG) methods to enhance data retrieval and processing capabilities.
- Integrate and work with OpenAI APIs to leverage advanced AI functionalities.
- Ensure efficient development and testing of code in a startup environment.
- Apply knowledge of large language models (LLMs) and fine-tuning processes to enhance product offerings.
To succeed in this role, you will need:
- A strong background in Python backend engineering.
- Proven experience with Python web development frameworks, especially FastAPI.
- Demonstrated ability in rapid prototyping using frameworks like Streamlit.
- Experience working with vector databases.
- Understanding of Retrieval-Augmented Generation (RAG) methods.
- Hands-on experience with OpenAI APIs.
- Knowledge of the general workings of large language models (LLMs) and fine-tuning.
- Proficiency with AWS deployment services, including Lambda, Bedrock, SageMaker, and other common AWS services.
- A strong work ethic, dedication, and sense of ownership and accountability for your work.
- The ability to efficiently develop and test code in a fast-paced startup environment.
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