Software Engineer (AI/ML, Life Sciences)

TL;DR

Software Engineer (AI/ML, Life Sciences): Designing, developing, and deploying AI-powered features to enhance the platform's capabilities with an accent on advanced machine learning, analytics techniques, and large language models (LLMs). Focus on integrating and deploying AI features, monitoring, evaluating, and optimizing model performance continuously.

Location: Remote (Europe based)

Company

hirify.global helps life science companies digitize, automate, and scale their quality and compliance processes.

What you will do

• Develop and implement machine learning models, including applications involving large language models (LLMs), to enhance product capabilities.
• Analyze structured and unstructured data, including text-based documents and event records.
• Conduct data preprocessing, exploratory data analysis, feature engineering, and model validation.
• Utilize semantic search techniques, retrieval-augmented generation (RAG) methods, and advanced LLM-based frameworks.
• Collaborate with product managers, software developers, and quality assurance teams to integrate and deploy AI features.
• Monitor, evaluate, and optimize model performance continuously.

Requirements

• Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, Statistics, or related fields.
• 7+ years of experience as a Software Engineer.
• 3+ years of practical experience in AI, machine learning, or related roles.
• Strong software engineering skills: clean code, testing, API development.
• Proficiency in Python and key libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy.
• Hands-on experience working with and integrating LLMs in production systems
• Experience in semantic search, document retrieval, text analytics, and prompt engineering.
• Experience with Cloud platforms (AWS preferred) and their relevant services.
• Robust analytical, problem-solving, and critical thinking skills.

Nice to have

• Track record of shipping ML features that are actively used in production.
• Experience processing regulatory documents, compliance texts, or technical documentation in regulated industries
• Experience fine-tuning LLMs and developing RAG systems.
• Prior experience within SaaS or life sciences sectors.
• Familiarity with cloud platforms (AWS, Azure, GCP) and machine learning deployment processes.
• Knowledge of vector databases and modern AI application architectures.

Culture & Benefits

• Fully remote work across EMEA with flexible hours.
• Competitive compensation with performance-based incentives.
• Collaborative, international team culture.
• Clear career path toward Senior AE or leadership roles.
• Continuous professional training and development.
• Opportunity to make a measurable impact in a fast-scaling SaaS company transforming life sciences.