AI Engineer

We're seeking an exceptional and ambitious AI/ML engineer who thrives in high-intensity environment with lots of unsolved challenges and wants to build something revolutionary.

Our team moves fast, works hard and solves big problems. We're focused on rapid execution and creating outsized impact in the legal space.

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!

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 Support Logic (Series B startup using predictive & generative AI)
• Aizada (CEO):
  Harvard Law graduate with 7+ years legal experience at Cooley and consulting experience at Mc Kinsey
• Assel (CPO):
  Harvard Business School graduate with 7 years building Fin Tech 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:

• Proven track record delivering production-grade AI agents with measurable business impact
• Hands‑on experience on designing and building eval dataset and pipeline
• 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

• MS/PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Experience working in a small startup environment (Seed or Series A).