Generative Ai Engineer
Generative Ai Engineer
Posted yesterday
SENIORITY
Senior
About the role
- Design, develop, and deploy GenAI solutions using on-prem LLMs and infrastructure
- Build chatbots and data extraction solutions using LLMs, prompt engineering, and NLPSupport traditional AI/ML work, including fraud detection, fraud prevention, and classification models
- Monitor model performance after go-live, then tune and optimize models in production
- Support live production environments
- Analyze large datasets in a Hadoop environment using SQLSupport data processing and data engineering work alongside GenAI projects
- Work with cross-functional teams to deliver GenAI solutions from design through production
- 4+ years of combined experience in AI/ML, Python, and data engineering 2+ years of hands-on GenAI experience in production, including deploying, monitoring, and tuning models
- Strong Python programming skills
- Hands-on experience with LangChain, LangGraph, and Streamlit
- Experience with LLMs, prompt engineering, and chatbot development
- Knowledge of natural language processing (NLP) for text generation
- Skilled in data preprocessing, feature engineering, and vector databasesSQL skills for data analysis
- Background in data science and AI frameworks
- Eager to learn and grow with new technologies
- Experience deploying models on-premises
- Experience moving from traditional ML into GenAI/LLM work
- Hadoop experienceETL experience
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.
