Possible 3 Month CTH | No Fees | Do Not Re-Post | Confidential
Skype interview is mandatory please provide the candidates skype ID, VIDEO INTERVIEW IS MANDATORY. NO CPT ALLOWED.
Submit candidates under their legal name and use only *** template
Candidate's photo ID IS MANDATORY FOR ALL CANDIDATES EVEN CITIZENS.
Candidates are able to travel monthly to LAM office in Fremont, CA.
In your submission include:
Candidates are able to travel monthly to LAM office in Fremont, CA.
Phone #:
Email address:
Location (City and State):
Relocate:
Availability to start:
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Hiring Status: C2C/W2/1099QOpen for CTH (y/n):
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Due to additional onboarding requirements, a meet and greet is required for all new hires.
Candidates must be willing to go to the closest ***, Client, or offsite location as indicated by project team to meet with a *** team member prior to starting their assignment.
If the candidate is not local, travel will be required at the expense of the *** project team (will receive project code for vendor to submit invoices in SAP Fieldglass for reimbursement). If travel is involved, will send travel policy document for the candidate to adhere to
Vendors: If your candidate is selected for interview, you need to take screenshot of candidate and interviewer once interview is initiated. THIS IS NOW MANDATORY FOR ALL INTERVIEWS to confirm candidate is same as person in CV.
Mariana Zarate
OBO Tactical Procurement | Procurement
Job Description: GenAI Engineer
Location: Remote is acceptable but ideally able to work with some overlap for West coast US timezone
GenAI Engineer (RAG/LLM)
Seeking a highly skilled and experienced GenAI Engineer with a strong background
in Data Engineering and Software Development to join our team. The ideal candidate will focus on
enhancing our information retrieval and generation capabilities, with specific experience in Azure AI
Search, data processing for RAG, multimodal data integration, and familiarity with Databricks.
In this role, you will be responsible for developing a comprehensive framework that focuses on data
ingestion processes (vector databases and text-to-SQL). This framework will ensure seamless
integration and accessibility of data, which will be consumed by an LLM-based chatbot to optimize
and enhance semiconductor manufacturing processes.
Key Responsibilities:
- Design, develop, and optimize Retrieval-Augmented Generation models to improve
information retrieval and generation processes within our applications.
- Develop and maintain search solutions using Azure AI Search to ensure efficient and
accurate information access
- Process and prepare data to support RAG workflows, ensuring data quality and relevance.
- Integrate and manage various data types (e.g., text, images) to enhance retrieval and
generation capabilities.
- Work closely with cross-functional teams to integrate data into our existing retrieval eco-
system, ensuring seamless functionality and performance.
- Ensure the scalability, reliability, and performance of data retrieval in production
environments.
- Stay updated with the latest advancements in AI, ML, and data engineering to drive
innovation and maintain a competitive edge.
Projects include:
- Azure AI Search Indexing: Implementing advanced search indexing solutions using Azure AI
to enhance data accessibility and retrieval.
- LLM RAG Chatbot: Support development of chatbot using RAG to improve customer
support and interaction.
What we're looking for:
- Bachelor's degree in computer science, Data Science, or a related field.
- Master's degree in data science or a related field is preferred.
- Approximately 8 years of experience in Data Science, MLOps, and Data Engineering
- Proven experience in AI and ML solution implementation, particularly in semiconductor
manufacturing.
- Proficiency in Python
- Proven experience in data engineering and software development, with a focus on building
and deploying RAG pipelines or similar information retrieval systems.
- Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation
tasks.
- Strong understanding of database systems (SQL and NoSQL) and data warehousing
solutions.
- Proficiency in Azure AI, Databricks, and other relevant tools and technologies.
- Excellent problem-solving skills and the ability to work independently and collaboratively in
a team environment.
- Strong communication skills to effectively convey technical concepts to non-technical
stakeholders.
- Experience in developing and deploying scalable ML models in production environments.
