We're seeking an exceptional and ambitious AI/ML engineer who thrives in a 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.
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 a $15b market that has never seen an amazing product!
Founding Team
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 of legal experience at Cooley and consulting experience at McKinsey
Assel (CPO): Harvard Business School graduate with 7 years of building FinTech products at SoFi, Step, and Ernst & Young.
What we're looking for
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 in designing and building eval datasets and pipelines
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
Responsibilities
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
Nice-to-haves
MS/Phd in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
Experience working in a small startup environment (Seed or Series A).
Compensation Range: $200K - $275K