Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
No Travel Required
Able to Provide Sponsorship
Skills
LangChain
Generative Artificial Intelligence (AI)
Vertex
GEN AI
Job Details
Gen AI Engineer
NYC, NY Onsite
We are seeking a talented and experienced Gen AI Engineer to join our team. The ideal candidate will be hands-on and drive design, development, and implementation of AI based solutions for CB Tech. This role involves working with large datasets, conducting experiments, and staying updated with the latest advancements in AI and Machine Learning.
This person is expected to innovate and lead the Corporate Bank (CB) Tech efforts in modernizing the engineering landscape by identifying AI use cases and provide local support.
If you are actively coding, have a passion for AI and want to be part of developing innovative products then apply today.
What You ll Do
- Design, develop and implement AI and Gen-AI based Agentic software systems on the cloud
- Collaborate with other development teams and subject matter experts (SMEs) to integrate shared services into products
- Learn Deutsche Bank s AI Governance framework and operate within safe AI principles
- Leverage architecture decision trees to pick strategic AI patterns to solve business problems
- Integrate Gen-AI application programming interface (APIs) with cloud-native presentation (GKE, Cloud Run) and persistent layers (PostgreSQL, BQ)
- Run systems at scale while continuing to innovate and evolve and work with data engineers and scientists to ensure effective data collection and preparation for training AI models
Skills You ll Need
- AI Expertise and proficiency in frameworks (Langchain, Streamlit or similar), libraries (Scikit-learn or similar) and cloud platforms (Vertex AI or OpenAI)
- Prompt Engineering & Red Amber Green (RAG) skills in crafting effective prompts and enhancing AI outputs with external data integration
- NLP Strong knowledge understanding of natural language processing and conversational AI technologies
- Deployment & Operations experience in model deployment, monitoring, optimization (MLOps), and problem-solving
- Proficiency with cloud-native orchestration systems (Docker/Kubernetes), Python or Java, and Structured Query Language (SQL); as well as knowledge of RESTful design
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.