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Job Summary:

A client of ours in Remote is looking for a Sr. Engineer - Generative AI for a Full-time opportunity.

We are looking for an Engineer Generative AI (GenAI) to join our Financial Services Risk Technology Advisory team, work on cutting-edge GenAI projects, and contribute to the success of our financial services clients.

Mandatory Skills:

Sr Data Science / Sr AI Engineer (3 5 years "hands-on" experience)

Specific Skills: Prompting LLMs, API programming, automating/orchestrating LLM-applications, preprocessing/embedding text, retrieval augmented generation (RAG)

Specific Technologies: Python, Jupyter Notebook, GitHub, vector databases, Docker containers, LangChain

Responsibilities:

Develop on-premise GenAI applications, leveraging open-source or proprietary large language models (LLMs) and following responsible AI practices

Write Python code in Jupyter Notebook for data preprocessing, feature extraction, API calls, and application orchestration

Integrate GenAI application components like vector databases, API endpoints, document databases, and other endpoints for full end-to-end solution

Configure LLM libraries for use on on-premise servers

Coordinate with IT Technology Team to troubleshoot and optimize application components

Maintaining code repositories in GitHub, ensuring proper versioning and collaboration

Deploy and evaluate AI models and related infrastructure

Actively participate in Agile ceremonies and collaborate with cross-functional teams, providing regular updates to the Product Owner

Qualifications:

Degree in computer science, data science, analytics, or similar discipline

Minimum 10+ years of Sr. Engineer - Generative AI Experience.

Working knowledge of Python NLP/LLM libraries, GitHub, Jupyter Notebook, vector databases, API endpoints, and containerization

Previous experience delivering AI or GenAI applications within a large financial services organization (i.e., banking or insurance)

Basic understanding of NLP models, including a key concepts like embeddings and the inner workings of LLMs

Demonstrated ability to debug and evaluate the performance of GenAI models

Strong familiarity with Agile methodologies and practices for efficient project delivery

Job Type: Full-time

Location: Preferred location is Open to remote candidates or candidates residing in NYC, Tri-State area, Chicago, Charlotte, or Raleigh

ERPMARK INC

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