---
title: 'Product Engineer - AI at Alma'
canonical: 'https://feeny.ai/job/product-engineer-ai-alma-palo-alto-wtenvq7ne7w1'
type: 'job'
last_seen: '2026-09-16'
---

# Product Engineer - AI at Alma

- **Company:** Alma
- **Location:** Palo Alto, CA
- **Compensation:** $150k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-25
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/tryalma/8021fb35-fc1e-4950-a078-afc0e89d9856

## Job description

Alma is an AI-native law firm. We combine AI with an exceptional legal team to deliver fast, transparent, and high-touch legal services at a fraction of the cost and speed of legacy firms. Our first market is immigration law. We're focused on simplifying complex immigration processes for companies and individuals, and disrupting the $15B market that has never seen an amazing product. We are backed by leading VCs such as [Bling Capital](https://www.blingcap.com/), [Forerunner](https://www.forerunnerventures.com/), [Village Global](https://www.villageglobal.vc/), [NFX](https://www.nfx.com/), [Conviction](https://www.linkedin.com/company/convictionvc/), [MVP Ventures](https://www.mvp-vc.com/), [NEA](https://www.nea.com/) and [Silkroad Innovation Hub.](https://silkroadinnovationhub.com/)

🧠 Founding Team The founding team has an extensive background in the legal industry, consulting, and building ML platforms.

- [Shuo](https://www.linkedin.com/in/shuochen05/) - CTO & Cofounder: Shuo built the ML Platform (Michelangelo) at Uber for 5+ years after which he was the head of AI & ML team at a SupportLogic (a series B startup using predictive & generative AI for customer support).
- [Aizada](https://www.linkedin.com/in/aizadamarat/) - CEO & Cofounder: Aizada is a graduate of Harvard Law School, an attorney with 7+ years of experience including working at a top law firm such as Cooley and an ex-McKinsey consultant.

🔍 What we're looking for We're hiring a Product Engineer (AI) — an engineer who lives at the intersection of AI systems and user-facing product. You'll own features end-to-end, from designing agentic pipelines and RAG architectures to building the React interface the user interacts with. Your north star is the product: you measure your work by whether it makes customers' lives better, not by model benchmarks in isolation. You'll work directly with the founding team and early customers to ship a world-class AI-powered immigration platform and help us scale by 100x. You need to be deeply customer-obsessed. At Alma, "customer" means two groups. The first is our external customers — companies and individuals navigating immigration under high-stakes circumstances. The second is our internal legal team — attorneys and paralegals who use our platform every day. If an AI-generated document hallucinates a citation, that's not an ML problem — it's a customer problem. If an agent workflow saves a paralegal two hours a day, that's a feature worth shipping yesterday. The best engineers we'll hire will sit with the legal team, watch how they interact with our AI tools, and obsess over closing the gap between what the model produces and what the attorney actually needs. At Alma, the engineer who designs the agent also builds the UI that exposes it. You should be the kind of engineer who can design a multi-step agentic pipeline in the morning, debug a prompt regression after lunch, and wire up the frontend that lets a user review the output before dinner. With modern AI tooling, the traditional excuse of "frontend isn't my strength" no longer holds. You also need to build with AI, not just build AI. You should already be living inside modern coding harnesses (Claude Code, Codex, Cursor, etc.), wiring up MCP servers to extend your own workflow, and treating agents as a core part of how you ship. If your instinct is "let me spin up an agent to scaffold this, then review and harden it," keep reading. You see problems as work to do, not things to complain about. We move fast — our codebase has rough edges, our processes are still being invented, and not every corner is beautiful yet. We want engineers whose instinct, when they hit a messy module or a flaky eval, is "I'll fix it" — not "who wrote this?" If you're the kind of engineer who quietly improves the codebase around every feature you ship, you'll thrive here.

✅ Responsibilities

- Work closely with the founding team and early customers to build a world-class AI-powered product.
- Own AI-powered features end-to-end — design the agentic pipelines and LLM integrations, build the backend services that orchestrate them, create the frontend that exposes them, and ship to production.
- Design, build, and iterate on RAG pipelines, agentic workflows, prompt chains, and evaluation frameworks that power our core product.
- Develop and maintain robust evaluation and observability systems — you'll define how we measure whether our AI outputs are actually good, and build the tooling to catch regressions before customers do.
- Partner with our designer and product team to translate user needs into shipped AI-powered experiences — not just APIs or model outputs that "someone else will integrate later."
- Operate as a force multiplier with AI tooling — use coding agents to move 5–10x faster than traditional engineers without sacrificing quality, and continuously evolve how our team builds, reviews, and tests software.
- Engage in the entire application lifecycle with a high bar for coding, debugging, testing, and deploying.

🛠 Role Requirements

- 2+ years of experience building production AI/LLM-powered features — not research prototypes, but systems that real users depend on. You've dealt with hallucination mitigation, latency constraints, cost optimization, and the messy reality of shipping AI to production.
- Strong fundamentals in RAG architectures, prompt engineering, agentic frameworks, and LLM orchestration (e.g., multi-step chains, tool use, structured output extraction).
- Experience designing evaluation and quality systems for AI outputs — you've built evals, human-in-the-loop review flows, or regression detection pipelines, and you have opinions about what "good enough" means for production AI.
- Proficient in Python, FastAPI, PostgreSQL, containerization and scaling microservices.
- Comfortable in (or excited to ramp on) TypeScript, React, and modern frontend tooling. You don't need to be a CSS wizard on day one, but you need to be the kind of engineer who'll learn React deeply rather than punt it to someone else.
- Daily, hands-on use of modern coding harnesses (Claude Code, Codex, Cursor, or equivalent) — not as autocomplete, but as a primary way of shipping production code.
- Comfortable building and consuming MCP servers to integrate internal tools, data, and workflows into your dev loop.
- Strong point of view on AI-assisted code review, automated testing, and how to keep quality high when shipping at agent speed.
- Enjoy working in a fast-paced environment & wear multiple hats — including ones outside your historical comfort zone.
- Ability to seek & find the right resources for solving open-ended problems.
- Located in the San Francisco Bay Area or willing to relocate.
- BS/MS in Computer Science, Engineering, or a related technical field.

⭐️ Nice-to-haves

- Experience working in a small startup environment (Seed or Series A).
- Deep understanding of transformer architectures, attention mechanisms, and GPU inference — you can reason about why a model behaves the way it does, not just prompt around it.
- Experience with fine-tuning, RLHF, or distillation workflows.
- Experience with vector databases, embedding models, and retrieval optimization (hybrid search, reranking, chunking strategies).
- Familiarity with AI observability and tracing tools (LangSmith, Braintrust, or similar).
- Experience with AWS (Bedrock, SageMaker, or similar managed AI infra), Supabase, LaunchDarkly & Betterstack.
- Built your own MCP servers, custom agents, or internal AI dev tooling.
- Published, blogged, or shared opinions about modern AI-assisted development workflows.
- Genuine full-stack experience — comfortable across backend, frontend, and infra.

## Benefits & Perks

- Hyper-competitive base salary range based on experience
- 100% Health coverage + Vision + Dental
- 20 days PTO + 10 Federal Holidays
- $250 per month in wellness allowance

## About Alma

## Company Overview
- **One-liner**: Alma is a technology-driven immigration law firm that combines expert attorneys with an AI-powered platform to deliver faster, higher-quality visa and green card outcomes for individuals and businesses.
- **Entity Type**: Private (Series A)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2024
- **Founders**: Shuo Chen (CTO & Co-Founder), Assel Tuleubayeva (CPO & Co-Founder)

## Core Business
- **Primary industry**: Legal Services (Immigration Law / LegalTech)
- **Target customers**: B2B (companies hiring immigrant talent) and B2C (individuals applying for visas or green cards); primarily serves SMBs and growing enterprises.
- **Mission statement**: "Transform the immigration industry" by combining attorney expertise with AI/ML to streamline the complex immigration process.

## Products & Services
- **Temporary Work Visas**: End-to-end support for E-2, E-3, H-1B, L-1A, L-1B, O-1A, O-1B, and TN visas. Includes strategy, petition drafting, filing, and real-time case tracking.
- **Immigrant Visas (Green Cards)**: Full management of employment-based green cards: EB-1A, EB-1B, EB-1C, EB-2 NIW, EB-2 PERM, and EB-3.
- **Alma Platform**: A proprietary platform providing clients with real-time visibility into case status, document management, proactive updates, and SLAs – replacing traditional spreadsheets and reactive workflows.
- **For Businesses**: End-to-end immigration program management, from initial strategy through permanent residency, with dedicated attorney-led teams and structured workflows.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $5.1M (Series A, July 2024)
- **Notable Investors / Partners**: Bling Capital, Forerunner, Village Global, NFX, Conviction, MVP Ventures, NEA, Silkroad Innovation Hub
- **Growth Signals**:
  - 44 employees as of mid-2025, with monthly headcount growth of +7.4%
  - 23,473 LinkedIn followers (growing +4.2% monthly)
  - Active in 5 countries (US, Canada, India, Pakistan, Slovakia)
  - 98%+ approval rate on O-1A visas and 99% on H-1B (above USCIS averages)
  - 86 NPS (Net Promoter Score)
  - Case preparation timeline of ~2 weeks vs. 4–6 weeks for traditional firms
  - SOC 2 Type I compliant (Type II in observation)

## Competitive Advantages
- **Attorney-led + AI/ML**: Combines the expertise of seasoned immigration attorneys with a structured, technology-driven workflow that proactively moves cases forward.
- **Speed**: Guaranteed turnaround time of ~2 weeks for case preparation, significantly faster than the industry standard.
- **High Approval Rates**: Consistently outperforms USCIS averages, especially for O-1A and H-1B petitions.
- **Transparency & Visibility**: Clients get real-time status updates, clear timelines, and full control via the platform – unlike traditional firms that rely on outdated portals and reactive communication.
- **Personalized Support**: Dedicated legal teams provide tailored attention, and the company’s own founders and team have personal experience with the immigration process.

## Strategic Focus
- **Scaling the platform** to serve more businesses and individuals, expanding the range of visa pathways and geographies.
- **Deepening AI/ML capabilities** to further streamline document processing, strategy recommendations, and risk prediction.
- **Building a world-class legal and engineering team** to maintain high-touch service while increasing throughput.

## Why Work Here
- **Mission-driven**: Work on a product that directly impacts people’s lives and helps companies build global teams.
- **Growth stage**: Early-stage startup (Series A) with rapid headcount growth – opportunity to shape the company and take on significant ownership.
- **Remote-friendly**: Many roles are remote (Immigration Attorney, Paralegal, etc.), with a Palo Alto office available for those who prefer hybrid/in-person.
- **Culture**: Emphasizes speed, excellence, care, and proactive communication. High NPS (86) reflects strong client and team satisfaction.
- **Diverse team**: Employees across 5 countries; legal, engineering, sales, product, and design departments all represented.
- **Perks**: Not explicitly listed, but typical of a well-funded startup (equity, flexible work, modern tools). The careers page shows active hiring for Product Engineer, Product Manager, Account Executive, and multiple legal roles.

## Sources
1. [tryalma.com – About Us](https://www.tryalma.com/about-us)
2. [tryalma.com – Homepage](https://www.tryalma.com/)
3. [LinkedIn – Alma Company Page](https://www.linkedin.com/company/tryalma)
4. [jobs.ashbyhq.com – Alma Careers](https://jobs.ashbyhq.com/tryalma)
5. [jobalmanac.com – Alma Immigration Jobs](https://www.jobalmanac.com/companies/tryalma)

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