We're seeking an Applied AI Scientist to design, develop, and optimize intelligent agent systems powered by large language models. You'll drive research and engineering to deliver high-impact, real-world AI solutions that are reliable, scalable, and transformative.
About Us
is one of the fastest-growing startups in the legal and medical sectors in the U.S. We're redefining how attorneys interact with medical records using AI to accelerate and improve the way legal professionals process injury and disability claims. As a venture-backed company and proud member of the NVIDIA Inception Startup Program, we're building secure and scalable tools to bring real impact to law and healthcare.
What You'll Do
- Research and implement
AI agents and multi-agent architectures
, including agentic workflows, orchestration frameworks, and tool-use integration. - Develop
dynamic reasoning and interaction strategies
, leveraging chain-of-thought reasoning, decision policies, and routing mechanisms. - Build and optimize
LLM-based pipelines
with retrieval-augmented generation (RAG), vector search, context management, and grounding to external data. - Apply
few-shot learning, in-context learning, and post-training optimization
, including instruction tuning, prompt engineering, and fine-tuning (SFT, LoRA). - Leverage
reinforcement learning
to improve agent decision-making, coordination, and RLHF pipelines. - Integrate agents with
external APIs and tools
for advanced tool-augmented workflows. - Design
evaluation pipelines and feedback loops
to continuously improve agent performance, reliability, and factuality. - Lead projects like
agentic search, due diligence pipelines, token recommendation systems, and generative response optimization
.
What We're Looking For
- Master's degree in CS, AI, Data Science, or related field (PhD preferred).
- 3+ years of experience in
AI/ML system design
, especially NLP and deep learning. - Expertise with
LLMs, prompt engineering, few-shot/in-context learning, and post-training techniques
. - Hands-on experience with
reinforcement learning
applied to AI agents. - Strong proficiency in
Python
and frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain. - Familiarity with
information retrieval, vector search, and knowledge integration
. - Proven ability to build
scalable, high-performance AI solutions
. - Collaborative mindset to work across
research, engineering, and product teams
.
Why Join Us
- Lead innovation at the intersection of
AI, legal tech, and healthcare
. - Work on projects that
directly improve outcomes for real people
. - Remote-first culture emphasizing
trust, ownership, and speed
. - Competitive salary, meaningful equity, and
growth opportunities for your career
.