Applied AI Engineer

About the Role

Bjak is at the forefront of the AI revolution, building a proactive smart assistant designed to bring intelligence to everyday conversations, errands, and complex workflows. As an Applied AI Engineer, you will be instrumental in transforming raw model capabilities into seamless, reliable product behaviors that solve real-world problems for our global user base. We are looking for a builder who thrives at the intersection of machine learning, systems engineering, and product design�someone who is obsessed with making AI actually work for users, not just in controlled demos, but in unpredictable, high-stakes production environments. You will join a mission-driven team dedicated to building a proactive AI assistant that handles multi-step reasoning, persistent context, and high-reliability task completion.

• Design, develop, and ship end-to-end AI features, managing the entire lifecycle from model selection and prompting to system integration and user experience.
• Architect and iterate on sophisticated agent workflows, including memory management, tool usage, and multi-step reasoning capabilities for long-running processes.
• Translate non-deterministic model outputs into structured, reliable, and predictable system behaviors that maintain high performance across diverse use cases.
• Debug complex issues across the full stack, including model biases, orchestration bottlenecks, infrastructure scaling, and front-end interaction patterns.
• Optimize AI systems for production-grade reliability, focusing on minimizing latency and managing compute costs without sacrificing intelligence or accuracy.
• Develop and implement lightweight evaluation frameworks to measure and improve the real-world performance of models based on user signals and production data.
• Collaborate closely with product and research teams to translate ambiguous user needs into functional, high-impact technical specifications and working systems.
• Own technical problems end-to-end, from shaping initial model behavior to ensuring the system remains robust under heavy real-world usage.

• Deep foundational knowledge of machine learning, modern neural network architectures, and the current landscape of Large Language Models (LLMs).
• Proven hands-on experience in training, fine-tuning, and deploying machine learning models into production environments at scale.
• Expertise in Python and a strong familiarity with deep learning frameworks such as PyTorch or JAX.
• Strong proficiency in working with modern LLM APIs (OpenAI-style), open-source models (LLaMA, Qwen), and inference engines like vLLM.
• Experience with Vector Databases and retrieval-augmented generation (RAG) to maintain persistent context and long-term memory.
• Exceptional ability to write clean, production-quality code and navigate various abstraction layers from low-level infrastructure to high-level product logic.
• Resilient problem-solving skills with a bias toward action, shipping, and continuous iteration in fast-moving, high-growth startup environments.
• Ability to bring structure to ambiguous problems and execute independently while exercising sound technical judgment.

• Opportunity to work on a truly magical AI product that provides practical, daily benefits to a global user base of billions.
• A fast-paced, high-growth environment where decisions are made collectively and executed at rapid speed to stay ahead of the curve.
• Culture of transparency and efficiency, featuring a streamlined interview process designed to respect your time and talent.
• Collaborative work with a small, world-class team of engineers, researchers, and product visionaries who value excellence.
• Remote-first work culture that empowers you to bring structure and deliver high-quality work from anywhere in the world.
• Ownership over significant product features and the ability to see the direct impact of your code on user experience and business outcomes.
• Competitive compensation and the chance to shape the future of proactive AI assistants in an industry-leading company.

Required Skills