Description

Design and build advanced Retrieval Augmented Generation (RAG) applications, integrating large language models into production environments.

Responsibilities

• Build and deploy RAG applications with guardrails and responsible AI principles.
• Integrate LLMs (Llama, Mistral, GPT, multi-modal) into applications or user interfaces.
• Lead technical projects within interdisciplinary teams of data scientists and domain experts.
• Fine-tune LLMs and manage vector databases (Pgvector, Redis, Elasticsearch).
• Evaluate model outputs and implement LLMOps and MLOps workflows.

Required Skills

• 5+ years of professional experience in technical design and coding.
• Proficient hands-on experience in Generative AI and Python programming.
• Strong background in Java.
• Experience with LLM frameworks such as LangChain and Hugging Face.
• Experience with NLP tools including Gensim or NLTK.
• Hands-on experience with ML libraries like Scikit-learn or pandas.
• Experience developing and integrating RESTful APIs.
• Experience with cloud infrastructure (AWS or Azure).
• Proficiency with container technologies including Docker or Kubernetes.

Preferred Skills

• Experience with standup of cloud-based platform services.

Key Skills

Education

Bachelor's Degree