Job Description: Senior LLM Engineer

About the Role:

A leading company innovating in the healthcare and consumer goods sectors is seeking a Senior Machine Learning Engineer. The engineer will play a crucial role in developing cutting-edge solutions that leverage large language models (LLMs) and other machine-learning techniques. Our team is committed to creating products that revolutionize how our customers interact with healthcare and consumer products. This is an excellent opportunity for candidates to apply their expertise in a dynamic and challenging environment.
Responsibilities:
Design and develop machine learning models and systems to enhance product capabilities.
Collaborate with a diverse team of engineers to drive innovation and solve complex problems.
Implement and optimize prompt engineering, RAG, and agents for LLMs and Generative AI.
Utilize cloud services (Azure, GCP, AWS) to deploy and manage machine learning solutions.
Communicate effectively with business stakeholders and subject matter experts to align technical solutions with business needs.
Required Skills:
Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field (or equivalent experience).
Minimum of 5 years of relevant experience in machine learning engineering.
At least 3 years of experience in building and deploying machine learning models and systems.
6+ months of hands-on experience with LLMs and Generative AI.
Proficiency in programming with Python, Langchain, and SQL.
Strong understanding of cloud services, including Azure, GCP, or AWS.
Excellent communication skills for effective collaboration with business stakeholders.
Mandatory Skills:
Machine Learning: 3
Business Analysis: 3
Google Cloud Platform: 3
AWS: 3
Azure: 3
Total Years of Experience:
5+ years experience mandatory
Opportunity:
Full Time, 8 hours
4 hours overlap with PST
Notice Period: Immediate
Engagement Length: 6-12 Months
Interview Process:
2-step interview:
Technical coding challenge (~1 hour live coding, Python fundamentals, algorithms)
1-hour call with the Delivery team to discuss the project, requirements, and fit
Pre-Screening Questions:
If you have worked before, please list the names of your GenAI project from your resume and their duration.
Provide details of your experience with prompt engineering. Mention the project name from the resume and its duration.
Provide details of your experience in designing & building LLM-based RAG pipelines. Mention the project name from the resume and its duration.
Provide details of your experience using tools like Langchain or something similar. Mention the project name from the resume and its duration.