We are seeking a highly skilled and experienced Senior LLM Engineer to join our dynamic ML team. The ideal candidate will be adept at leveraging large language models to develop innovative solutions and enhance business operations. This role requires strong technical expertise in AI and machine learning, excellent problem-solving skills, and the ability to communicate complex ideas effectively with clients from the USA.
Responsibilities
- Lead the development and integration of LLM-based applications, ensuring high performance and alignment with business objectives
- Design and fine-tune models using advanced neural network architectures to improve functionality and address specific business needs
- Collaborate with cross-functional teams to understand requirements and provide technical leadership in the strategic deployment of LLM technologies
- Maintain up-to-date knowledge of industry trends and advancements in large language models
Personal Profile Overview
- Degree in Computer Science, Software Engineering or related field
- Stability in previous employment history with a tendency to remain with employers for extended periods
- Experience in managing diverse project activities (not just coding, but also requirements analysis, preparing estimations)
- Clear and effective communication skills, both verbal and written, ability to convey ideas, information, and messages accurately and efficiently
- Proficiency in fostering effective collaboration and teamwork activities
- Ability to analyze information, assess situations, and make decisions based on sound reasoning and logical evaluation
- Focus on delivering exceptional customer experiences and prioritizing customer satisfaction
- Analytical thinking, problem-solving abilities, and strategic approach to technical challenges
- Transparency in sharing the information within a team and company
- Willingness to acquire new knowledge and insights to enhance professional growth and performance
Required skills
- Proficient in programming with Python
- Extensive experience with Amazon SageMaker for building, training, and deploying machine learning models at scale
- Knowledge of Amazon Bedrock for managing and operationalizing machine learning models
- Skilled in using LangChain for integrating LLMs into larger tech stacks and enhancing AI functionalities
- Experience with vector databases like Pinecone or Weaviate for efficient data retrieval and management
- Proficient in English, with good verbal and written communication skills
- Effective communication with customers located in the Eastern Standard Time (EST) zone
As a plus
- Experience hosting local LLMs for specific, controlled use cases and environments
We offer
- Professional development support (books, online courses, conferences, certifications, English classes, and clubs)
- Work in a comfortable office (no open space policy, nice relax/sports areas, spaciously bar/kitchen, shower, mini-laundry)
- Free lunches
- Flexible working hours and WFH policy (upon agreement with the teammates)
- Home office setup compensation
- Medical insurance or sports compensation
- Competitive salary for all team members
- 20 business days of paid vacation, additional vacation in case of baby birth
- Sick leaves compensation
- Maternity/paternity leave
- Corporate events and team-buildings