AI/Machine Learning (ML) Engineer

Job Title: AI/Machine Learning (ML) Engineer

Location: New York

Work Arrangement: Hybrid (office-based with flexibility to work from home)

Employment Type: Permanent

Salary: Competitive base + equity

Job Description:

An ambitious, rapidly-growing generative AI start-up in New York is seeking an experienced AI/Machine Learning (ML) Engineer to join as one of the founding team members. This early-stage company is focused on building cutting-edge AI platforms that deliver meaningful, real-world impact, and is offering a rare opportunity to contribute to its growth and shape the direction of its technology from the ground up.

The successful candidate will take on a high-responsibility role, developing and deploying production-scale AI systems and LLM-powered solutions. This position is ideal for individuals with a strong foundation in ML, experience working in high-growth start-up environments, and a desire to drive innovation within a mission-led organisation.

Key Responsibilities:

• Design and implement production-scale AI systems with a focus on performance and reliability
• Lead architectural decisions for AI/ML infrastructure
• Build and optimise LLM-powered features using techniques such as RAG and custom fine-tuning
• Develop evaluation frameworks and model monitoring systems
• Collaborate with domain experts to turn complex requirements into scalable AI solutions
• Design and maintain robust data pipelines for model training and inference
• Deploy and maintain ML systems in production environments with high reliability

Candidate Requirements:

Core AI/ML Expertise:

• Extensive experience in machine learning and deep learning architectures
• Strong understanding of transformer models (e.g. BERT, GPT) and practical implementation
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems
• Proficient in Python and ML frameworks such as TensorFlow or PyTorch
• Experience with prompt engineering, LLM optimisation, model evaluation and A/B testing
• Proven success in developing and scaling production-ready AI systems

Software Engineering & Infrastructure:

• Solid experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services
• Expertise in building and maintaining data pipelines
• Familiarity with containerisation (Docker, Kubernetes) and microservices
• Strong skills in API development and system architecture
• Proficient in SQL and NoSQL databases
• Experience with observability and monitoring tools (e.g. Datadog, CloudWatch)

Product & Domain Knowledge:

• Background in regulated industries is highly advantageous
• Understanding of compliance, data governance, and security requirements
• Strong product sensibility and ability to prioritise feature development
• Comfortable working in agile environments with evolving priorities

What Will Make You Stand Out:

• Experience deploying AI systems in production
• Open source contributions to ML projects
• Exposure to MLOps and maintaining production ML infrastructure
• Background in large-scale data systems
• Experience mentoring junior engineers

This is an exciting opportunity for an AI/ML Engineer to join a high-calibre team in a role with significant autonomy, influence, and technical challenge—at a company where engineering excellence and innovation are paramount.