2 days ago
London, United KingdomMid Level

Responsibilities

  • Implement and support Python-based services and applications.
  • Maintain and improve AI/ML solutions for performance and scalability.
  • Troubleshoot system issues as the designated technical specialist.
  • Set up systems and implement solutions for data analysis and document-processing exercises.
  • Integrate enterprise LLM APIs with structured outputs, tool use, streaming, retries, rate limits, model versioning, and cost controls.
  • Build production services with Python and Django or comparable web frameworks, including APIs, streaming interfaces, and asynchronous or background processing.
  • Design and optimize relational database schemas, migrations, and queries.
  • Collaborate with developers, product managers, business stakeholders, IT security, and architecture teams.
  • Identify opportunities to improve the firm’s technology stack and promote AI/ML, DevOps, and development best practices.

Requirements

  • Professional hands-on experience with Python.
  • Hands-on experience integrating LLM APIs from providers such as Azure OpenAI, Google Vertex AI, or Anthropic.
  • Understanding of traditional machine-learning models and algorithms.
  • Experience with Git or git-flow, Docker, and CI/CD pipelines, ideally Azure DevOps.
  • Experience with retrieval-enabled and agentic document workflows, including hybrid search, RAG, OCR, chunking, source citation, tool use, structured outputs, and document generation.
  • Experience building production services with Python and Django or comparable web frameworks.
  • Experience with relational databases, ideally PostgreSQL, including schema design, migrations, and query performance.
  • Knowledge of Azure Cloud, including AKS, Service Bus, Azure OpenAI, and Form Recognizer.
  • Experience with infrastructure-as-code tools such as Terraform.
  • Strong English communication skills for cross-functional stakeholder engagement.
  • Experience in agile, fast-paced environments.
  • Understanding of security and compliance requirements in professional services firms.
  • Prior experience in legal technology or professional services firms is preferred.

Categories

Solutions Engineering
Freshfields Bruckhaus Deringer

About Freshfields Bruckhaus Deringer

5,001-10,000 employees

Freshfields Bruckhaus Deringer is a global law firm advising corporations, financial institutions, and governments on complex transactions, disputes, and regulatory matters across jurisdictions. Structured as a partnership headquartered in London and founded in 1743, it operates offices across Europe, Asia, the Middle East, and the United States. Its fee-based practice spans M&A, antitrust, arbitration and litigation, finance and capital markets, and compliance and investigations.

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