AI Solutions Engineer

About the Role

Join a global law firm where technology and innovation are seamlessly integrated into client work. As part of our innovation strategy, you will be engaged in advancing key technologies and implementing solutions at the intersection of law, technology, and business. This role presents an opportunity to tackle exciting challenges and contribute to the firm's evolution in the legal tech space.

Key Responsibilities

Solution Design & Implementation

• Implement and support the development of Python-based services and applications.
• Maintain and improve existing AI/ML solutions to enhance performance and scalability.
• Support troubleshooting and resolve system issues as the designated technical specialist.
• Set up systems and implement solutions for ad-hoc data analysis and document processing exercises.
• Collaborate with developers, product managers, business stakeholders, IT security, and architecture teams to gather and align requirements.

Continuous Improvement & Innovation

• Identify opportunities to enhance the firm’s technology stack and contribute to its evolution.
• Introduce and promote best practices in AI/ML solution design, DevOps, and development.
• Stay up to date with emerging technologies and trends in AI, ML, and software engineering.

Skills and Experience

• Hands-on experience integrating LLM APIs across one or more enterprise providers, such as Azure OpenAI, Google Vertex AI, or Anthropic, including structured outputs, tool use, streaming, retries, rate limits, model versioning, and cost controls.
• Understanding of traditional ML models and algorithms.
• Hands-on track record working with Python in a professional environment.
• Development & DevOps: Hands-on experience with git/git-flow, containerization (Docker), and CI/CD pipelines (ideally Azure DevOps).
• Strong English communication skills to engage with cross-functional stakeholders.
• Experience with retrieval-enabled and agentic document workflows, including repository navigation, hybrid search and RAG, metadata, OCR, chunking, source citation, tool use, structured outputs, and document generation.
• Experience building production services with Python and Django or comparable web frameworks, including APIs, streaming interfaces, and asynchronous or background job processing.
• Experience working with relational databases, ideally PostgreSQL, including schema design, migrations, and query performance.
• Prior experience working in legal tech or professional services firms.
• Knowledge of Azure Cloud, including AKS, Service Bus, Azure OpenAI, and Form Recognizer.
• Experience with infrastructure-as-code tools (Terraform).
• Experience in agile, fast-paced environments.
• Understanding of the security and compliance requirements of a professional services firm.

Compensation For individuals assigned and/or hired to work in New York and California or reporting to someone in those states, the estimated compensation range for this role is $250,000 to $400,000. This range considers various factors including skill sets, experience, training, licensure, certifications, and organizational needs.

Equal Employment Opportunity (EEO) Statement This organization is proud to be an equal employment employer. Our policies and practices are free from unlawful discrimination based on protected characteristics. We strive to foster an atmosphere that encourages equal opportunities and prohibits discriminatory practices, including sexual harassment.

Disability Accommodation for Applicants We are an Equal Employment Opportunity employer and provide reasonable accommodation for qualified individuals with disabilities. If you have difficulty using our online system due to a disability, you can reach out for assistance via an alternative email or phone number provided in the accommodations information.

Inclusion We welcome applications from all suitably qualified individuals regardless of background. All offers of employment will be conditional on the candidate having secured the right to work in the UK (if applicable) prior to employment commencing.