At SiftHub, we are on a mission to make the life of sales and solutions teams more efficient and help them to focus on selling.
SiftHub AI Sales Engineer empowers sales and pre-sales teams to improve win rates and close deals faster.
SiftHub is an AI platform that acts as a central hub to collate and sift through all your content scattered across multiple repositories and tools such as Drive, Sharepoint, Confluence, CRM, Slack, product knowledge base.
As a member of our team, you'll be at the forefront of this exciting technology revolution, working alongside some of the brightest minds in the industry to bring our platform to life.
We're looking for individuals who are passionate about AI and its potential to drive real-world impact.
Whether you're an AI expert or an aspiring one, SiftHub offers an environment that supports and challenges you, enabling your growth and success.
Join us today and help us shape the future of AI for enterprises!.
Responsibilities:.
Design and implement scalable and secure backend systems and microservices.
Collaborate with cross-functional teams, including data analysts, AI/ML researchers, UX designers, product managers, and QA engineers, to build robust solutions that address real-world problems.
Mentor junior developers by providing guidance, feedback, and support throughout their career growth within the organization.
Actively participate in code reviews, architecture discussions, and technical debates to ensure quality and maintainability of the codebase.
Assist with debugging production issues when needed, applying your expertise to troubleshoot challenges quickly and efficiently.
Stay up-to-date with industry trends, emerging technologies, and new approaches to software engineering, suggesting improvements to existing processes where necessary.
Lead by example, demonstrating excellent communication skills, problem-solving abilities, and adaptability under pressure.
Requirements:.
Bachelor's or Master's degree in Computer Science, Information technology or related field.
6+ years of experience in large scale applications in Python or Java.
Expertise in managing and scaling SQL and NoSQL databases like MongoDB, ElasticSearch.
Proficiency with modern web frameworks like Spring Boot, Flask and Express.
Experience with vector database technologies such as Weaviate, Vespa or OpenSearch is a plus.
Experience in NLP tools and libraries like Spacy, Gensim, NLTK or deep learning frameworks like Keras, PyTorch, or TensorFlow.
Ability to write clean, modular, and well-documented code.
Experience with containerization tools Docker, Kubernetes, OpenShift.
Comfortable with Agile methodology and version control systems such as Git.