AI Senior Engineer

Overview

As Senior AI Engineer, you will lead the design and deployment of AI-powered features in a SaaS platform focused on legal tech for fund formation and private equity. You’ll own core NLP/ML components, from parsing and search to summarisation, in a production cloud environment. You work closely with engineers, product managers, and customers to ship reliable, scalable AI features. This role offers high-impact work in a lean, fast-moving team with clear ownership and tangible growth impact.

Responsibilities

• Design and implement ML models to improve document parsing, search, classification, and summarisation
• Integrate LLMs into core product workflows with a focus on reliability, performance, and guardrails
• Collaborate with engineers, PMs, QA, and customer-facing teams to deliver AI-driven features
• Optimize model serving and inference pipelines for low latency and cost in AWS (ECS, Lambda, S3, CloudWatch)
• Develop data pipelines for training and evaluation using PostgreSQL, Redis, Elasticsearch/OpenSearch, and S3
• Ensure models meet scalability, security, and compliance requirements for enterprise SaaS deployments
• Stay current on NLP/LLM advancements and contribute innovations to production
• Contribute to documentation, code reviews, and knowledge sharing

Key requirements

• 5+ years of AI/ML engineering experience delivering NLP/ML models into production SaaS
• Strong fundamentals in ML and hands-on NLP with spaCy, Hugging Face Transformers, PyTorch, TensorFlow
• Experience deploying and scaling LLM apps in production (fine-tuning, retrieval-augmented generation, evaluation, monitoring)
• Proficient Python with API development and integration of AI models
• Understanding of distributed systems and AWS (ECS, Lambda, S3, CloudWatch)
• Experience with data pipelines and orchestration for training, evaluation, and monitoring
• Ability to trade off accuracy, cost, performance, and interpretability in applied AI
• English at B2+ level for team communication

• Excellent communicator and collaborator across technical and non-technical teams
• Strong problem-solving with pragmatic, production-ready mindset
• Curious, self-motivated, and committed to continuous learning
• NLP libraries/frameworks (spaCy, Hugging Face Transformers, PyTorch, TensorFlow)
• LLM deployment and evaluation (fine-tuning, retrieval-augmented generation)
• API development and integration of AI models

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