- Support development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines under guidance.
- Assist with data collection, preprocessing, transformation, and validation for model training, testing, evaluation, and implementation.
- Debug and improve AI-enabled solutions for performance, reliability, explainability, maintainability, and quality.
- Support model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, AI agents, and agentic workflows.
- Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions.
- Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions.
- Participate in Agile practices including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
- Help ensure AI systems and features meet expectations for reliability, safety, governance, security, compliance, and escalation.
Requirements
- Must have earned a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
- Students must have a graduation date between December 2026 and June 2027.
- Knowledge of Python and foundational data processing technologies.
- Foundational understanding of data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
- Foundational understanding of supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
- Introductory understanding of LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.
- Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
- Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation.
- Strong communication, collaboration, documentation, and learning agility.
- Preferred: Experience through coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
- Preferred: Familiarity with NLP techniques and models including fuzzy matching, embeddings, BERT, transformers, and LLMs.
- Preferred: Exposure to LLM APIs, prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent workflow concepts.
- Preferred: Familiarity with APIs, data pipelines, ETL, cloud environments, containerized development, model deployment, or monitoring.
- Preferred: Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software engineering workflows.
Core Competencies
Demonstrates expertise in AI/ML model development, testing, and integration, with a strong foundation in Python and data processing technologies. Capable of collaborating across teams to implement AI-driven solutions while adhering to responsible AI practices and Agile methodologies.
Highest-signal resume keywords
- Python Programming
- AI/ML Model Development
- Data Pipeline Integration
- Agile Development Practices
- Responsible AI Awareness
Hard Skills
- Data Structures
- Algorithms
- Object-Oriented Programming
- Supervised Learning
- Unsupervised Learning
- Model Training
- Feature Engineering
- Debugging
- Testing
- Problem Solving
Soft Skills
- Communication
- Collaboration
- Documentation
- Learning Agility
Certifications & Qualifications
- Bachelor’s Degree
- Master’s Degree
Industry Keywords
- AI
- Machine Learning
- Data Science
- Artificial Intelligence
- Generative AI
- Agile Practices
- Data Retrieval Pipelines
- Prompt Engineering
- Fuzzy Matching
- Transformers
Tools & Technologies
- LLM APIs
- NLP Techniques
- ETL
- Cloud Environments
- Containerized Development
- Model Deployment
- CI/CD
- Version Control
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AI Engineer in Burgess Hill employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
