Knowl

As an Engineer at Knowl, you will play a crucial role in building and maintaining systems that can handle millions of real-time interactions daily with near-zero latency and unmatched reliability. You will have the opportunity to innovate with LLMs, pushing the boundaries of what LLMs can achieve in real-world applications. Taking full ownership of designing, implementing, and optimizing the systems that power our platform will be a core part of your responsibilities. Your work will directly impact how businesses connect with customers, driving measurable results at scale. We are looking for individuals who thrive on solving hard problems and have a passion for building systems that define the future. You should be skilled at turning complex ideas into scalable, reliable systems and have a knack for writing clean, efficient, and impactful code. If you are excited about designing systems that can handle massive concurrency and scale effortlessly, then you are the perfect fit for this role. If you are a bold innovator, a practical builder, a relentless coder, and have a passion for scale, then we would love to have you on board at Knowl. Join us in shaping the future of how businesses connect with their customers. This job opportunity was posted by Ashvin Sharma from Knowl.,

As an engineer at Knowl, you will be responsible for building systems that can handle millions of real-time interactions daily with near-zero latency and unmatched reliability. You will have the opportunity to innovate with Large Language Models (LLMs) by solving unique challenges and pushing the boundaries of what LLMs can achieve in real-world applications. Taking full ownership of designing, implementing, and optimizing the systems that power the platform will be a core aspect of your role. Your work will directly impact the industry and shape how businesses connect with customers, driving measurable results at scale. Key Responsibilities: - Engineer systems to handle millions of real-time interactions daily with near-zero latency and unmatched reliability. - Solve unique challenges by pushing the boundaries of what LLMs can achieve in real-world applications. - Take full ownership of designing, implementing, and optimizing the systems that power the platform. - Shape how businesses connect with customers, driving measurable results at scale. Qualifications Required: - Thrive on solving hard problems and building systems that define the future. - Skilled at turning complex ideas into scalable, reliable systems. - Writing clean, efficient, and impactful code is your craft. - Excited about designing systems that handle massive concurrency and scale effortlessly. (Note: No additional details about the company were provided in the job description),

As a founding engineer at Knowl, you will be tasked with tackling some of the most challenging projects, including vertical LLMs, low-latency voice infrastructure, and distributed intelligence systems. Your responsibilities will include: - Building and optimizing in-house models, training pipelines, and inference systems for scale and low latency in the LLM Infrastructure. - Pushing the boundaries of real-time speech infrastructure with low-latency audio streaming and advanced detection techniques in the Voice Systems. - Architecting data replication pipelines, scheduling, and logging systems to handle millions of conversations daily in the Distributed Intelligence domain. - Every line of code you write will play a crucial role in powering millions of AI-driven conversations and making a direct impact on major financial institutions in India. To be successful in this role, you are required to meet the following qualifications: - Must have solved challenging real-world problems at prestigious institutions like IITs/NITs/BITS or at renowned companies such as Google, Nvidia, DeepMind, etc. - Should possess a strong foundation in computer science fundamentals. - Must demonstrate strong proficiency in at least one object-oriented programming language. - Should have experience in development using the services of at least one cloud platform. - Must have an understanding of the basics of distributed systems. In addition, the following qualifications would be considered a bonus: - Experience in writing low-latency applications. - Previous work at the intersection of distributed systems, ML, and product development. - Proficiency in multi-threading and asynchronous programming. - Experience in architecting large-scale distributed systems. - Contribution at any stage in the lifecycle of LLMs, including data creation and optimizing training techniques. Knowl is a company that values innovation, cutting-edge technology, and impactful solutions. Join us in revolutionizing the field of AI-driven conversations and making a tangible difference in the financial sector in India.,