Software Engineer

June 25

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Teambooster AI

Freeing up time for interviewers. Giving more applicants a shot up to bat.

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Description

• Design, implement, and optimize software solutions to power AI agents • Develop and maintain backend systems using Node.js and integrate with vector databases like Pinecone • Work closely with AI engineers to integrate AI models into enterprise applications and systems • Ensure the scalability, performance, and reliability of AI agents • Collaborate on developing and refining prompts for GPT models to ensure accurate and contextually appropriate responses from AI agents • Assist in implementing Retrieval-Augmented Generation (RAG) techniques to enhance AI model performance • Develop software solutions for automated AI-driven report generation • Collaborate with data engineers, product managers, UX/UI designers, and other stakeholders to deliver high-quality AI solutions • Develop and execute comprehensive testing protocols to ensure the functionality and accuracy of AI agents • Maintain clear and comprehensive documentation of software designs, processes, and implementation details

Requirements

• Strong proficiency in programming languages such as Python, Javascript, or Java • Proven experience with backend server development using Node.js • Proven experience with managing SQL, Non-sql databases (Mongo DB), and vector databases(Pinecone) • 3+ years experience in software development, particularly in building and deploying scalable applications • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) • Basic understanding of AI and machine learning concepts and experience working with AI frameworks (e.g., TensorFlow, PyTorch) is a plus • Excellent analytical and problem-solving skills • Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders

Benefits

• 30 days of Paid leave in a year • Annual bonuses • Full-time remote or work from home • Day shift, Pacific Standard Time (Los Angeles, United States) • Accelerate Career growth

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