Design and implement AI-powered tools (e.g., document analysis, contract review, legal research assistants, workflow automation).
Build and maintain applications leveraging LLMs, NLP, and machine learning frameworks.
Develop APIs, integrations, and internal tools to embed AI into legal workflows.
Collaborate with attorneys and business teams to identify opportunities for AI-driven efficiency and innovation.
Translate legal and business requirements into technical solutions.
Work with foundation models (e.g., OpenAI, Anthropic, open-source LLMs) and optimize for legal use cases.
Implement prompt engineering, retrieval-augmented generation (RAG), and fine-tuning where appropriate.
Integrate with document management systems (DMS), knowledge bases, and firm data sources.
Ensure high-quality data pipelines and governance for AI applications.
Ensure AI solutions comply with legal, ethical, and client confidentiality requirements.
Partner with security and risk teams on model governance and data protection.
Establish metrics to evaluate model performance and user impact.
Iterate based on feedback from legal practitioners.
Support internal adoption through documentation, training sessions, and user support.
Act as a bridge between technical teams and legal professionals.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
3+ years of experience in software engineering, machine learning, or AI development
Hands-on experience with: Python (or similar language), APIs and backend development, LLMs and NLP frameworks (e.g., OpenAI API, LangChain, Hugging Face)
Experience building production-grade applications.
Strong problem-solving skills and ability to work with ambiguous requirements
Experience in legal tech, professional services, or regulated industries.
Familiarity with: Retrieval systems (vector databases like Pinecone, Weaviate, FAISS), Prompt engineering and RAG architectures, Document processing (OCR, parsing, structured extraction)
Understanding of legal workflows (e.g., litigation, corporate transactions, compliance).
Experience with cloud platforms (AWS, Azure, or GCP).
Knowledge of data privacy and security best practices.
Ability to translate complex technical concepts into practical legal solutions.
Strong collaboration skills with non-technical stakeholders.
Curiosity and adaptability in a rapidly evolving AI landscape.
High attention to detail, especially around accuracy and risk.

Benefits

Health, dental, and vision insurance
Life and disability insurance
Retirement & Savings Plan
Emergency back-up child and adult care
Paid vacation, sick time off, and holidays
Professional development and career advancement opportunities
Employee recognition and reward programs
Employee wellness and assistance programs
Employee discounts and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAPIsbackend developmentLLMsNLP frameworksdocument processingprompt engineeringretrieval-augmented generationdata pipelinesmachine learning

Soft Skills

problem-solvingcollaborationadaptabilityattention to detailcommunicationcuriosityability to work with ambiguous requirementstranslating technical conceptsuser supporttraining