Datum Technologies Group
Job Title: GenAI Engineer (RAG/LLM)
Location:
Remote (Preferred West Coast Time Zone Overlap)
Job Description: GenAI Engineer (RAG/LLM) We are seeking a highly skilled
GenAI Engineer
with expertise in
Retrieval-Augmented Generation (RAG) ,
Data Engineering , and
Software Development , ideally with experience in
semiconductor manufacturing . This role involves enhancing our data retrieval and generation capabilities, with a focus on
Azure AI Search ,
multimodal data processing , and
Databricks .
Key Responsibilities:
Design and implement scalable RAG models to optimize information retrieval and generation. Develop and maintain search solutions using
Azure AI Search. Process and prepare data for RAG workflows (vector databases, text-to-SQL, etc.). Integrate multimodal data (e.g., text, images) into the retrieval ecosystem. Collaborate with cross-functional teams to ensure data accessibility and performance. Stay up to date on the latest advancements in GenAI, ML, and data engineering.
Qualifications:
Bachelor's in Computer Science, Data Science, or related field. Master's preferred. ~8 years experience in Data Science, MLOps, or Data Engineering. Proven experience implementing AI/ML solutions in semiconductor manufacturing preferred. Proficiency in
Python. Hands-on experience building and deploying
RAG pipelines. Familiarity with
multimodal data processing. Strong understanding of SQL, NoSQL, and data warehousing solutions. Experience with
Azure AI ,
Databricks , and relevant tech stacks. Strong communication and problem-solving skills. Experience deploying ML models in production.
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."
Remote (Preferred West Coast Time Zone Overlap)
Job Description: GenAI Engineer (RAG/LLM) We are seeking a highly skilled
GenAI Engineer
with expertise in
Retrieval-Augmented Generation (RAG) ,
Data Engineering , and
Software Development , ideally with experience in
semiconductor manufacturing . This role involves enhancing our data retrieval and generation capabilities, with a focus on
Azure AI Search ,
multimodal data processing , and
Databricks .
Key Responsibilities:
Design and implement scalable RAG models to optimize information retrieval and generation. Develop and maintain search solutions using
Azure AI Search. Process and prepare data for RAG workflows (vector databases, text-to-SQL, etc.). Integrate multimodal data (e.g., text, images) into the retrieval ecosystem. Collaborate with cross-functional teams to ensure data accessibility and performance. Stay up to date on the latest advancements in GenAI, ML, and data engineering.
Qualifications:
Bachelor's in Computer Science, Data Science, or related field. Master's preferred. ~8 years experience in Data Science, MLOps, or Data Engineering. Proven experience implementing AI/ML solutions in semiconductor manufacturing preferred. Proficiency in
Python. Hands-on experience building and deploying
RAG pipelines. Familiarity with
multimodal data processing. Strong understanding of SQL, NoSQL, and data warehousing solutions. Experience with
Azure AI ,
Databricks , and relevant tech stacks. Strong communication and problem-solving skills. Experience deploying ML models in production.
"All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran."