Overview
Senior Python Engineer to join AI Engineering & Infrastructure team to bring AI-driven features into production. Deploying them at scale, improving infrastructure, and ensuring robustness in production. You'll work closely with AI researchers, software engineers, and product teams to bridge the gap between cutting-edge AI research and real-world applications.
Responsibilities
- Develop production-ready APIs and services exposing AI functionality to internal and external applications.
- Improve reliability and monitoring for AI-driven applications in production.
- Scale AI systems to handle real-world use cases (e.g., legal document analysis, case predictions, automated legal advice).
- Collaborate with AI engineers to deploy AI workflows and models into production.
- Work with event-driven architectures and async workflows to process large-scale AI workloads efficiently.
- Ensure security and compliance in AI-driven legal services.
Qualifications
- Strong Python experience in building scalable backend systems.
- Familiarity with API design and distributed systems architecture.
- Experience with event-driven architectures (e.g., Kafka, Pub/Sub, AWS Step Functions).
- Experience with cloud platforms (AWS, GCP, etc.).
- Understanding of observability, monitoring, and debugging best practices.
- LLM Observability and Evaluation – familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production.
- Comfortable optimizing performance and scaling distributed AI workloads; ML Ops experience.
- Full-stack TypeScript experience.
- Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality.
- Exposure to agentic and orchestrated systems (multi-step reasoning, agent frameworks, or orchestration tools like LangChain, AutoGen, Inngest, Temporal) where LLMs call tools, plan tasks, or coordinate workflows.
- Experience collaborating with researchers to integrate new models, pipelines, or research outputs iteratively.
- Prior experience in Legal Tech – understanding of the legal industry and experience with legal technology solutions.
