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, youll 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. Were looking for individuals who are passionate about AI and its potential to drive real-world impact.
Whether youre 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:
Lead the design and development of scalable backend systems to support large-scale applications
Collaborate with cross-functional teams, including NLP engineers, UX designers, product managers, and QA engineers, to build robust solutions that address real-world problems
Mentor 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:
Bachelors or Masters degree in Computer Science, Information technology or related field
10+ years of experience in building large scale enterprise applications using Java (must-have) and Python (good-to-have)
Strong experience in scaling high availability softwares on cloud - AWS, Azure
Expertise in managing and scaling SQL and NoSQL databases like MySQL,MongoDB, ElasticSearch, and caching technologies such as Redis to improve system performance
Proficiency with modern web frameworks like Springboot, Fast API
Experience in NLP tools and libraries like Spacy, Gensim, NLTK or deep learning frameworks like Keras, PyTorch, or TensorFlow is a plus
Experience with containerization tools such as Docker & Kubernetes
Proven ability to build and lead high-performing engineering teams