AI/Machine Learning (ML) Engineer – New York (Hybrid) – Competitive Salary + Equity + Opportunity to work with an Ambitious, Rapidly-Growing Start-Up
This young, early-stage start-up challenger are currently looking for Founding AI/ML Engineers to join their small team and help drive the business forwards.
This is an excellent opportunity for an experienced AI/ML Engineer with founding/small start-up experience to take that next step into an exciting position with a very well-run and ambitious organisation in an innovative, exciting space.
This young and agile company are building cutting-edge AI platforms. They are in a unique space where there is an opportunity for them to gain significant market share very quickly.
About the Company:
This very young company who were founded less than 2 years ago have taken big strides in their space already!
With their ambitious product vision in AI and ML, you will tackle interesting technical challenges that push the boundaries of what’s possible.
There is the opportunity to work within a complex codebase, own entire product points, and build new features end-to-end.
They work on building GenAI software to help accelerate organizations.
Everything they do is entrenched in achieving engineering excellence.
They are a meritocratic, mission-driven organization focused on technical excellence, practical innovation, and meaningful impact with the aim of solving real problems through cutting-edge AI technology.
Their culture is not corporate, and they like to trust their employees to take on a lot of responsibility and have input into the shape of growth of the organisation.
About the AI/Machine Learning (ML) Engineer Vacancy:
As an AI Software Engineer, you will be at the forefront of developing AI solutions.
You will architect and implement the core AI systems that power their platform, from sophisticated documentation automation to intelligent workflow optimization.
Key Responsibilities:
• Design and implement production-scale AI systems with a focus on reliability and realworld performance
• Lead technical architecture decisions for our AI/ML infrastructure
• Build and optimize LLM-powered features using state-of-the-art techniques including RAG and custom fine-tuning
• Develop robust evaluation frameworks and monitoring systems for AI model performance
• Collaborate with domain experts to translate complex clinical requirements into technical solutions
• Design and maintain data pipelines for model training and inference
• Implement and maintain production ML systems with high reliability requirements
Ideal Requirements for the AI/Machine Learning (ML) Engineer Vacancy:
Core AI/ML Expertise:
• Strong theoretical foundation in machine learning algorithms and deep learning architectures
• Several years of software engineering experience, with some of that specifically in AI/ML development
• Deep expertise in Transformer models (BERT, GPT) and their practical applications
• Extensive experience with RAG (Retrieval-Augmented Generation) systems
• Strong background in prompt engineering and LLM optimization
• Proven track record of implementing and scaling production AI systems
• Expertise in Python and major ML frameworks (TensorFlow, PyTorch)
• Experience with model evaluation, A/B testing, and establishing robust evaluation frameworks
Software Engineering & Infrastructure:
• Strong experience with Cloud platforms (AWS, GCP, Azure) and their AI/ML services
• Expertise in building and maintaining Data Pipelines
• Experience with containerization (Docker, Kubernetes) and Microservices Architecture
• Strong background in API design and development
• Proficiency with SQL (Postgres) and NoSQL databases
• Experience with monitoring and observability tools (e.g., Datadog, CloudWatch)
Product & Domain Knowledge
• Regulated industry experience is a major plus
• Understanding of Compliance and Data Security requirements
• Strong product sense and ability to scope features based on impact and feasibility
• Experience working in fast-paced environments with evolving requirements
What Makes You Stand Out:
• Experience deploying AI systems
• Open source contributions to AI/ML projects
• Background in data systems
• Experience with MLOps and production ML system maintenance
• Track record of mentoring other engineers
Apply to the Role:
Roles like these are snapped up very quickly, so act now if you do not want to miss out! Reply to this advert or email your CV to richard@weareorbis.com
