AI Developer
About the role
- Design, develop, and deploy Generative AI and Large Language Model (LLM) solutions to solve complex business problems.
- Lead implementation of advanced GenAI patterns, including Retrieval Augmented Generation (RAG), prompt engineering, and agentic AI workflows.
- Continuously evaluate and apply emerging AI/ML technologies, frameworks, and research to improve model quality, performance, and scalability.
- Translate business requirements into AI driven solutions with measurable outcomes.
- Machine Learning & Advanced Analytics
- Build, train, tune, and deploy machine learning models, including:
- Neural Networks
- Decision TreesSVMsNLP models
- Reinforcement Learning systems
- Ensemble techniques
- Apply advanced statistical and ML algorithms to real world data for prediction, classification, and optimization problems.
- Ensure model robustness, explainability, and performance across production environments.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
