AI Engineer
Description For AI Engineer
Xoul is at the forefront of revolutionizing human-AI interaction, developing a groundbreaking platform for creating and deploying autonomous AI agents and swarms. As an AI Engineer, you'll be integral to shaping the future of AI technology, working on cutting-edge challenges in a fast-paced startup environment.
The role demands exceptional expertise in AI/ML systems, from fine-tuning state-of-the-art models to optimizing production deployments. You'll be responsible for building and maintaining sophisticated AI pipelines, working with advanced technologies like LLMs, transformers, and diffusion models. The position requires strong technical skills across classical ML algorithms, data infrastructure, and inference optimization.
This is an opportunity for ambitious AI builders who thrive in intense, high-impact environments. You'll work alongside passionate product experts and engineers, contributing to transformative AI experiences. The role suits those with 2+ years of experience in building production AI systems, combined with strong product intuition and a relentless problem-solving mindset.
Xoul offers a unique value proposition, including covered housing costs for on-site workers, allowing full focus on innovation. The company culture emphasizes ownership, transparency, and exceptional work ethic. This isn't a typical corporate role – it's for those passionate about pioneering the next wave of AI technology and comfortable with the demands of startup life.
The ideal candidate will have proven experience with AI/ML systems, deep technical knowledge, and the ability to tackle novel challenges. You'll need to be comfortable with ambiguity, adapt quickly, and maintain high standards while moving fast. If you're excited about shaping the future of autonomous AI experiences and want to be part of a revolutionary change in how humans interact with AI, this role offers the perfect platform for impact.
Responsibilities For AI Engineer
- Solve cutting-edge AI/ML challenges and fine-tune state-of-the-art models
- Handle AI/ML pipelines from data ingestion to deployment
- Debug, optimize, and maintain AI models and data pipelines in production
- Collaborate on project specifications with executives and team members
- Create intelligent systems that resonate with users
- Communicate progress, challenges, and blockers transparently
Requirements For AI Engineer
- 2+ years experience building, deploying, and scaling AI/ML systems
- Deep familiarity with supervised and unsupervised learning techniques
- Experience with pipeline tools like Kafka, Dagster/Airflow, Flink
- Experience with fine-tuning and customizing state-of-the-art models
- Proficiency with inference engines like TensorRT, FlashInfer, and CUDA kernels
- Experience deploying models using frameworks like vLLM, Triton
- Experience deploying, scaling, and maintaining AI/ML systems in production
- Deep product intuition and user-aligned solutions
- Ability to thrive in startup environment and handle ambiguity
Benefits For AI Engineer
- Housing costs covered for on-site workers
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