AI Engineer (LLMs & Agentic Systems)
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5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
This is a remote position.
Requirements
- Proven experience as an AI/ML Engineer with a focus on Natural Language Processing and Generative AI.
- Deep understanding of LLM architecture including transformers and attention mechanisms.
- Hands-on experience building solutions with LLM frameworks (e.g. LangChain LlamaIndex) and foundational models (e.g. GPT series Llama Mistral).
- Demonstrable experience in fine-tuning open-source LLMs for specific tasks.
- Strong programming skills in Python and proficiency with core ML libraries (PyTorch TensorFlow Hugging Face).
- Experience deploying ML models to production in a cloud environment (AWS SageMaker GCP Vertex AI or similar).
- Familiarity with creating RAG (Retrieval-Augmented Generation) pipelines and working with vector databases (e.g. Pinecone Chroma).
- Bonus: A Masters degree PhD or publications in a relevant AI field.
- Bonus: Experience working with healthcare data and an understanding of its unique privacy and compliance challenges.
Benefits
- USD-based salary
- Fully remote work from anywhere
- Opportunity to lead AI strategy and research in the HealthTech space
- Flexible work environment and a high degree of autonomy
- Supportive team with room to grow
- Potential for relocation in future
AI, Machine Learning, LLM, Generative AI, Python, PyTorch, TensorFlow, Hugging Face, LangChain, Vector Databases, RAG, Fine-Tuning, API Development, Docker, AWS, GCP
Education
Master's Degree or PhD in Computer Science or related field
Employment Type
Full Time
