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Our team moves fast, works hard and solves big problems. We're focused on rapid execution and creating outsized impact in the legal space.
👋🏼 Hello! We’re ALMA
Backed by leading VCs such as Bling Capital, Forerunner, Village Global, NFX, Conviction, MVP Ventures, NEA and Silkroad Innovation Hub, Alma is on a mission to forever change immigration for the better!
We're focused on simplifying complex immigration processes for companies and individuals, and disrupting $15b market that has never seen an amazing product!
🧠 Founding Team
You'll work directly with founders committed to disrupting immigration. Our founding team combines top expertise across tech, legal, and product:
- Shuo (CTO): Built Uber's ML Platform (Michelangelo) for 5+ years and led AI/ML at SupportLogic (Series B startup using predictive & generative AI)
- Aizada (CEO): Harvard Law graduate with 7+ years legal experience at Cooley and consulting experience at McKinsey
- Assel (CPO): Harvard Business School graduate with 7 years building FinTech products at SoFi, Step, and Ernst & Young.
A 99th percentile "can-do" engineer with 2+ years of LLM experience who will lead our AI initiatives:
- Deep expertise across the LLM lifecycle (pre-training, fine-tuning, inference, agent systems)
- Hands-on experience on designing and building eval dataset and pipeline
- Proven track record delivering production-grade AI solutions with measurable business impact
- Strong applied AI/ML research background with practical problem-solving abilities
- Experience shipping LLM applications to production and optimizing post-deployment performance
- Proficiency with different LLM techniques (prompt engineering and agents) & toolings (RAG and MCP)
- Intuitive understanding of LLM architecture and the best practices of implementation
- Work closely with the founding team to build and ship AI-native products.
- Transform academic AI research into performant, business-oriented solutions.
- Design & implement LLM-powered products, such as prompting, agents, experimentation, LLM Ops, measuring quality & performance.
- Evaluate and productize various types of LLMs for our product use cases
- Stay at the forefront of NLP advancements: function calling, embedding techniques, reasoning frameworks, agent architectures
- Own your work end-to-end and integrate the research into our product
- MS/Phd in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Experience working in a small startup environment (Seed or Series A).
Key Skills
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