Senior AI/ML Engineer
Position Overview
A fast-growing startup in the AI automation space is seeking a Senior AI/ML Engineer to lead the development of its core machine learning systems. This is not a peripheral AI feature role-your work will be central to the product itself, powering intelligent automation for high-impact, real-world use cases in finance and document processing.
You'll be part of a small, elite team working directly with founders to architect, build, and optimize cutting-edge AI workflows. If you thrive in fast-paced environments and want to push the boundaries of LLMs, fine-tuning, and GPU-level performance, this is your opportunity to shape the future of AI infrastructure from the ground up.
Key Responsibilities
- Design and implement LLM-powered workflows for financial and document automation tasks.
- Own the full ML lifecycle: data curation, labeling, training, fine-tuning, evaluation, benchmarking, and deployment.
- Optimize performance across GPU clusters and distributed compute environments.
- Experiment with both open-source and proprietary LLMs, pushing their capabilities to new limits.
- Monitor and benchmark model performance, reliability, and efficiency at scale.
- Collaborate closely with leadership on technical strategy, rapid prototyping, and roadmap planning.
- Establish foundational engineering practices and contribute to building the future AI team.
Ideal Qualifications
- 4+ years of hands-on experience in machine learning or AI engineering, with a focus on NLP, LLMs, or deep learning.
- Expert-level proficiency in Python, with a strong emphasis on clean, production-grade code.
- Deep familiarity with ML frameworks such as PyTorch, TensorFlow, HuggingFace, LangChain, etc.
- Proven experience in GPU optimization, distributed training, and scalable inference pipelines.
- Strong background in dataset creation, evaluation design, and real-world ML system deployment.
- Passion for speed, efficiency, and maximizing model performance.
- Entrepreneurial mindset with a bias toward action and ownership.
- Bonus: Experience with retrieval-augmented generation, prompt engineering, or enterprise ML applications.
Work Culture & Benefits
- Flat, founder-led structure with high autonomy and high expectations.
- Intense, focused, and supportive environment with a direct communication style.
- Competitive compensation:
- Base Salary: $120,000 - $240,000
- Cash Bonuses + Early Equity
- Access to top-tier hardware, compute resources, and curated datasets.
- Opportunity to build the AI engine at the heart of a breakout product.
If you're ready to build, optimize, and ship world-class AI systems in a high-impact setting, this role offers the challenge and ownership you've been looking for.
FAQs
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