Role Purpose
- The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters
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Qualifications:
- Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
- Proven track record in medical NLP or domain-specific LLM projects.
- Strong understanding of transformer architectures, embedding models, and prompt engineering.
- Proficiency in Python and ML frameworks (e.g., PyTorch, Cuda).
- Familiarity with RLHF, reward modelling, and evaluation frameworks.
Responsibility
- Should consult with the principal engineer to develop advanced RAG models, not just basic or naive RAG implementations.
- Expected to build multi-step or advanced RAG systems, including features like self-reflection, grading, and using cross-encoders or bi-encoders.
- Some engineers should be skilled in RAG development, while others should focus on fine-tuning models, with a mix of expertise across the team.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.