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
AI Senior Engineer in London employer: Antal International Network
As a leading international bank based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and development. Our commitment to excellence is reflected in our competitive salary packages and comprehensive benefits, ensuring that our team members are well-supported in their professional journeys. Joining us as the Chief Risk Officer means becoming an integral part of our Executive Management Team, where you will have the opportunity to shape our risk strategy and contribute to the long-term success of a respected institution in the banking sector.
Contact Details:
Antal International Network Recruitment Team
