AI Engineer (AI)

TL;DR

AI Engineer (AI): Building and optimizing AI capabilities and models for a legal contracting platform, with an accent on extracting structured insights from legal documents and powering product features. Focus on exploring and applying cutting-edge techniques in NLP, LLM integration, Prompt/Context Engineering, and scaling RAG systems for complex legal workflows.

Location: This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Must be based in the US, specifically in San Francisco, New York City, Seattle, or Chicago.

Salary: $150,000–$165,000

Company

hirify.global is a leading AI contracting platform that transforms agreements into assets, trusted by organizations like OpenAI and the World Health Organization.

What you will do

• Build and tune models and AI capabilities that ingest legal documents, extract key information, and deliver actionable insights.
• Implement backend services that power document understanding, classification, and natural language search.
• Explore and apply cutting-edge techniques in NLP, LLM integration, Prompt/Context Engineering, and semantic search.
• Design and maintain robust systems for prompt management, model training/tuning, orchestration, evaluation, and inference.
• Develop and scale retrieval-augmented generation (RAG) systems and agent-based orchestration frameworks for complex legal workflows.
• Help build foundational AI/ML infrastructure, including tools for experimentation, model versioning, and online/offline performance monitoring.
• Partner closely with product managers and designers to shape user-facing AI experiences and deliver value through APIs and intelligent features.

Requirements

• BS degree in Computer Science, Engineering, or a related field.
• Experience working with large language models (e.g., GPT, Claude) or building RAG systems.
• Experience with embedding models and vector databases.
• Experience in training, evaluating, and serving machine learning models.
• Hands-on experience with Python, backend service development, and RESTful APIs.
• Experience in NLP techniques such as text classification, entity extraction, document understanding, or question answering.
• Proficiency with AI frameworks and APIs (e.g., PyTorch, TensorFlow, HuggingFace, OpenAI, LangChain).
• Experience with cloud platforms (e.g., GCP, AWS, Azure).
• Solid understanding of Git or other version control systems.
• Strong engineering fundamentals and attention to code quality, testing, and maintainability.
• Excellent communication and collaboration skills.
• Passion for building AI products that solve real-world customer problems.

Nice to have

• Familiarity with Vertex AI or other managed ML platforms.
• Experience working with PDF and DOCX parsing for document ingestion.
• Comfort with Docker and containerized development.
• Familiarity with CI/CD systems (e.g., GitHub Actions, CircleCI).
• Monitoring and observability with tools like Datadog or equivalent.
• Experience with data processing and analysis using tools like SQL, Pandas, NumPy, or PySpark.

Culture & Benefits

• 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available.
• Market-leading leave policies, including gender-neutral parental leave and compassionate leave.
• Family forming support through Maven for you and your partner.
• Paid time off - take the time you need, when you need it.
• Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use.
• Mental health support through Modern Health, including therapy, coaching, and digital tools.
• Pre-tax commuter benefits (US Employees).
• 401(k) plan with Fidelity with employer match (US Employees).
• Regular team events to connect, recharge, and have fun.