AI Engineer

Handshaik

Handshaik is streamlining business development for dealmakers.

We offer a unique opportunity to join a dynamic and growing team, developing an AI-powered SaaS platform.
We are a start-up with significant scale up funding (>9 figures – GBP), and product validation by industry-leading organizations.

As a Founding AI Engineer, you will work closely with the co-founders to rapidly iterate on product ideas and help shape the technical vision from the ground up.
This is a hands-on role that requires deep technical expertise, entrepreneurial drive, and the ability to turn ideas into scalable solutions.
You’ll have the opportunity to build the product from the earliest stages, solving real customer problems, and playing a key role in the company’s journey towards achieving its business milestones.

Responsibilities (including but not limited to):

• Collaborate with cross-functional teams to identify business opportunities and design data-driven solutions
• Develop, fine-tune, and deploy machine learning and deep learning models, including neural networks, that enhance the platform’s insights and intelligence
• Integrate large language models (LLMs) into our product pipeline, exploring techniques such as Retrieval-Augmented Generation (RAG) for improved data insights
• Leverage LLM frameworks like LangChain to build and manage LLM-based workflows, adapting pipelines to evolving data and user needs
• Perform exploratory data analysis, data processing, and feature engineering to support model building
• Partner with engineering teams to integrate AI/ML solutions into the product, ensuring scalable and reliable deployment
• Create and manage data pipelines, ensuring data integrity, quality, and compliance with industry standards
• Conduct experiments, validate hypotheses, and iteratively improve models based on real-world feedback
• Establish best practices in data science, AI/ML, and deep learning, setting standards for a growing data team.

 Requirements:

• Passionate individual that’s hardworking and dedicated, with an entrepreneurial/ownership mindset, strong communication skills and a team player
• Fluency in English
• Minimum 3-5 years of professional or academic experience in data science, machine learning, AI, and deep learning
• Strong proficiency in Python, with experience using machine learning and deep learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
• Familiarity with key machine learning algorithms, including decision trees, gradient boosting, clustering, and neural networks
• Practical experience deploying AI/ML models, including LLMs, using techniques such as RAG, fine-tuning, and prompt engineering.
• Familiarity with LLM pipelines and frameworks such as LangChain to enhance product capabilities
• Strong experience with data analytics, statistical modelling, and predictive analytics
• Solid understanding of SQL and experience with relational and non-relational databases; familiarity with cloud data solutions (e.g., AWS Redshift, Azure Synapse) is a plus
• Experience working with large datasets and data pipeline frameworks (e.g., Spark, Airflow)
• Knowledge of cloud platforms (AWS, Azure) and scalable infrastructure for ML, deep learning, and LLM pipelines
• Experience with NLP, LLM techniques such as RAG, and generative AI applications

 Full-time position