Applied LLM Engineer
Location
Work-from-Anywhere Policy
Employment Type
Full-Time
Department
Engineering
Compensation
$250K - $300K USD +
Offers Equity + Acceleration Options. Performance Bonus up to 50% of base.
Additionally, this role is eligible to participate in our accellerated equity plan, culture and benefits program. Equity calculators and financial education programs are included with these programs.
Benefits include, but not limited to: Comprehensive health, dental, vision and mental health coverage, retirement benefits (401K match up to 10%), and flexible PTO, together with fully funded course programs.
Why Instant.Lawyer
Instant.Lawyer is a hypersecure platform at the intersection of AI and blockchain, built to augment productivity, automate complex workflows, and ultimately improve people’s lives—globally. We’re part of a growing ecosystem including Instant.Tax and Instant.Accountants, leveraging reasoning-adept LLMs customized by our expert team of lawyers, accountants, engineers, and scientists.
Our symbiotic software blends AI, machine learning, holographic cryptography, and incentive systems—researched, developed, and tested by our world-class team. With strong product-market fit and rapid adoption, we’re scaling quickly and hiring the best talent to help us shape the future of law and professional services.
Here's why Instant.Lawyer needs you:
-
We're on a mission to improve life for people. AI for Good. Technology that directly improves life for people, families, businesses, and communities globally. This mission starts with our team: we look after our people so they can build great things that the world truly needs.
-
We're building safe, interoperable, decentralized AI systems that scale securely across hardware and humans;
-
Exceptional product market fit: We have partnered with the largest AI/ML, finance and legal providers in the world;
-
Strategic investors: we've raised a large amount of seed and Series A funding from key global investors.
-
World-Class Team: We’re hiring the best talent from DeepMind, Google, Stripe, Tesla, Figma, and more, blending expertise across engineering, law, and design.
-
Partnerships: Our engineers and researchers collaborate directly with leading LLM providers, including OpenAI, Anthropic, Google Gemini, and Meta LLaMA 3.
-
We offer packages that are "North of Fair" to attract and retain world-class talent to work alongside each other.
Role Overview
As an Applied LLM Engineer, you will be at the forefront of advancing how legal reasoning is automated and delivered through large language models. You’ll take on the challenge of adapting state-of-the-art LLMs to high-stakes, real-world legal and professional use cases—where accuracy, trust, and security are paramount.
You will work across the full lifecycle of model application: fine-tuning and customizing foundation models, building retrieval-augmented pipelines, aligning model outputs with legal reasoning standards, and shipping reliable features into production.
This is an opportunity to combine cutting-edge machine learning research with hands-on engineering, directly shaping how millions of people engage with the law.
What You'll Do
-
Design, fine-tune, and evaluate LLMs for applied legal, tax, and professional reasoning tasks.
-
Build robust pipelines that integrate LLMs with structured data, retrieval systems, and domain-specific knowledge.
-
Collaborate with legal and engineering experts to align AI outputs with regulatory and ethical standards.
-
Develop metrics, benchmarks, and evaluation frameworks to measure model performance, reliability, and bias.
-
Contribute production-quality code and APIs to deliver LLM-powered features at scale.
-
Stay ahead of the curve in LLM research, applying the latest techniques in fine-tuning, prompting, RAG, and multi-agent systems
What You Have
-
3+ years of experience in applied machine learning, with a focus on NLP or LLMs.
-
Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, or JAX.
-
Hands-on experience training, fine-tuning, or deploying large-scale models in production.
-
Knowledge of retrieval-augmented generation (RAG), vector databases, and prompt engineering.
-
Familiarity with evaluation methods for LLMs, including accuracy, reliability, fairness, and bias metrics.
-
Ability to work cross-functionally with lawyers, product teams, and engineers.
-
Strong communication skills, with the ability to explain complex technical concepts to non-technical audiences.
Bonus Points
-
Experience working with legal, financial, or other highly regulated data domains.
-
Contributions to open-source LLM projects, benchmarks, or tools.
-
Familiarity with distributed systems and large-scale training infrastructure.
-
Knowledge of alignment techniques (RLHF, Constitutional AI, preference modeling).
-
Hands-on experience with multi-modal LLMs (text + code, or text + structured data).
-
Research background with published work in NLP, ML, or AI conferences/journals.
Compensation Range
$250,000 - $300,000 USD
Instant.Lawyer is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
