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The position available is for a Backend Engineer, AI at Bjak, a company working on advanced AI solutions. The role is grounded in building a proactive AI system designed to facilitate seamless work across various conversations and tools. This role is ideally suited for someone who is passionate about AI and backend programming, and presents an exceptional opportunity to make a significant impact.
As a Backend Engineer, you will take ownership of the inference and orchestration layer that serves every AI interaction in the product. Your work will have direct implications on latency, correctness, reliability, and cost, all of which significantly affect the real-world user experience. Here are the key responsibilities of the role:
Build and operate backend systems to enable AI-powered features in production environments.
Design inference pipelines, orchestration layers, and define service boundaries around various models.
Own crucial production concerns such as monitoring, logging, alerting, and incident response.
Optimize performance metrics such as latency and throughput through advanced techniques including caching, batching, and streaming.
The ideal candidate for the Backend Engineer position should possess several critical skills and experiences:
Strong foundational knowledge in backend engineering within production settings.
Practical experience running high-throughput and low-latency services.
Familiarity with AI inference patterns, including working alongside Large Language Models (LLMs), embeddings, and multimodal systems.
Ability to debug distributed systems effectively, especially under load.
A bias towards shipping functionalities and learning from actual production behavior, highlighting a hands-on approach to problem-solving.
Once positioned in this role, you will aim to achieve certain outcomes that support both personal and company goals:
Ensure backend systems run reliably at scale while efficiently managing production AI traffic, maintaining low latency and high throughput.
Develop stable APIs that integrate seamlessly across both frontend and machine learning systems.
Quickly detect, diagnose, and resolve production incidents to minimize user impact effectively.
Commit to iterative improvements based on real usage metrics to continuously elevate system performance and reliability.
The technology landscape for this role includes:
Programming Languages: Python, Node.js
AI Frameworks: Pytorch, OpenAI, and other open-source LLMs.
Databases: SQL & NoSQL solutions.
Containerization and Orchestration: Kubernetes, Docker.
Bjak values a high-talent density team that operates in a hands-on manner. They prioritize collective decision-making and speed in execution. A balance between shipping high-quality work while continually learning is a cornerstone of their work culture.
Joining this team necessitates a level of independence, clear judgment, and the ability to implement structured plans to achieve set goals. The overarching objective is to empower users by delivering high-value AI products that are beneficial to billions globally.
The recruitment process consists of up to four interviews to assess candidate compatibility. Technical team members evaluate application submissions, and interviews can be conducted either virtually or onsite. Bjak emphasizes efficiency and transparency, promising prompt decisions. Candidates demonstrating exceptional skills and the desired mindset will attract immediate offers to join the team.
The Backend Engineer, AI role at Bjak provides an exciting chance to work at the forefront of AI technology, contributing to systems with real-world applications. With a focus on performance, reliability, and user experience, this position is well-suited for an ambitious engineer eager to bring transformational products to life. Be part of a company that is committed to using AI to produce tangible benefits for a global audience.
This job offer was originally published on himalayas.app
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
