Xoul is reshaping the interaction between humans and AI. We're building an intuitive, powerful platform where anyone can create, deploy, and monetize intelligent AI agents and swarms that autonomously collaborate and execute meaningful actions in the real world. Our vision is bold: empowering creators to design intelligent, autonomous systems that amplify human potential.
Solve Cutting-edge AI Problems: Relentlessly tackle novel AI/ML challenges—fine-tuning state-of-the-art models, creating innovative algorithms, and pushing boundaries. If you’re intimidated by ambiguity or give up easily, this isn’t your place.
Own Your Systems, Deploy Rapidly: You’ll handle AI/ML pipelines from data ingestion and preprocessing to inference optimization and deployment strategies. Move fast without sacrificing code or model quality.
Radical Accountability: Your responsibility doesn’t end at deployment. Debug, optimize, and proactively ensure your AI models and data pipelines perform robustly at scale in production.
Collaborative Specification: Actively flesh out project specs alongside executives, teammates, and product engineers. You're a partner, not an executor.
Deep User Understanding: You're not just deploying models; you're creating intelligent systems that deeply resonate with users. Anticipate and accommodate user needs proactively in your AI systems.
Embrace Transparency: Clearly communicate progress, challenges, and blockers. Transparency and proactive communication are critical.
Work Exceptionally Hard: This isn't FAANG. If work-life balance is your main priority, this isn’t your job. We work relentlessly and expect you to keep pace—because we're building something groundbreaking.
You should be comfortable—or rapidly become comfortable—with:
Classical ML Algorithms: Deep familiarity with supervised and unsupervised learning techniques, including traditional and deep-learning methods.
Data Pipelines & Infrastructure: Experience with pipeline tools like Kafka, Dagster/Airflow, Flink, or equivalent streaming and batch processing systems.
Model Fine-tuning & Pre-training: Hands-on experience with fine-tuning and customizing state-of-the-art models (LLMs, transformers, diffusion models, etc.) for production scenarios.
Inference Optimization & Low-Level Engines: Proficiency with performance-optimized inference engines such as TensorRT, FlashInfer, and direct experience programming CUDA kernels.
High-level Model Deployment Tools: Comfortable deploying models using frameworks like vLLM, Triton, or similar deployment environments.
Production-Grade AI Systems: Experience deploying, scaling, and maintaining AI/ML systems in production environments serving real-world users.
Research & Innovation: Prior research experience is encouraged. You will regularly confront novel, ambiguous problems requiring innovative solutions.
Systems Experience (Bonus): A background in traditional software development and system design is a plus.
Being an LLM whisperer—someone exceptionally skilled at coaxing maximum performance out of LLMs—is a significant bonus.
Proven AI Builder: 2+ years experience building, deploying, and scaling impactful AI/ML systems that real users rely on daily.
Deep Product Intuition: You don’t just deploy models; you anticipate user needs, proactively crafting intelligent, user-aligned solutions.
Startup DNA: You thrive amid ambiguity, adapt quickly, move swiftly, and genuinely love the intensity of startup life.
Ownership Mentality: "Not my problem" isn’t in your vocabulary. If you build it, you own it completely.
Relentless Problem Solver: You get excited—not discouraged—when facing challenging, ambiguous AI problems.
Passionate about AI: Deep curiosity and passion for AI, its emerging techniques, and practical applications.
At Xoul, we're pioneering a shift from isolated AI interactions to powerful, autonomous agent swarms capable of seamless collaboration and meaningful action. You'll join a passionate, driven team of product obsessives and exceptional engineers, committed to crafting transformative AI experiences.
We’re ambitious, perfectionistic, and fiercely passionate about the AI future we're shaping. If you're an AI expert craving high-impact work, Xoul is where the next AI revolution will unfold.
🛏️ Housing is on us: We cover your housing costs if you come live and work with us, so you can fully focus on redefining the AI landscape.
TL;DR: If you're an ambitious AI builder, comfortable navigating cutting-edge challenges and deploying sophisticated ML systems, and excited to shape the next wave of autonomous AI experiences, apply now.
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Meet Xoul, where we're transforming the relationship between humans and AI, creating a platform that enables anyone to design, deploy, and profit from intelligent AI agents and swarms. As an AI Engineer at Xoul in San Francisco, you'll tackle the most exciting AI and machine learning challenges, fine-tuning models and developing innovative algorithms that push the boundaries of what's possible. You won't just deploy solutions; you'll build and own a robust AI/ML pipeline, from data ingestion to deployment, ensuring high performance even at scale. Collaboration is at our core, meaning you'll work closely with executives and product engineers, helping shape the future of our products. We believe in understanding users deeply, and your role will be to anticipate their needs as you create intelligent systems. Transparency is key in our team, so you'll need to communicate progress, challenges, and results effectively. Be prepared to work hard; we're not your typical company, and our commitment to innovation means that a balance between life and work may look different here. If you have 2+ years of experience with deploying AI solutions that users depend on and have a relentless passion for problem-solving, Xoul is the place for you. Join us as we drive significant AI advancements and enjoy the perks, including covered housing costs to help you focus entirely on your groundbreaking work. If you're ready to embark on this exciting journey with us, we want to hear from you!
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