AI ENGINEER - LLM, RAG

ROLE OVERVIEW

We are seeking an AI Engineer to design and build applications leveraging Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) techniques. The role involves prototyping finetuning and deploying AI powered solutions while ensuring performance scalability and alignment with business objectives.

KEY RESPONSIBILITIES

• Develop integrate and optimize AI applications using LLM APIs (e.g. OpenAI Anthropic).
• Implement RAG pipelines with vector databases and retrieval mechanisms.
• Design test and refine prompts for effective model performance.
• Integrate AI models with backend services and APIs.
• Collaborate with developers and product teams to bring AI solutions into production.
• Apply basic MLOps practices to ensure scalable deployment and monitoring.

QUALIFICATIONS

• Bachelors or Masters degree in Computer Science AI Data Science or related field.
• 4 years of software development experience including at least 2 years in AI/ML.
• Proficiency in Python and familiarity with frameworks (LangChain LangGraph).
• Experience with vector databases (Pinecone Weaviate FAISS).
• Knowledge of RAG architectures embeddings and LLM optimization.
• Strong problem-solving experimentation and debugging skills.

Preferred Skills

• Experience with cloud AI platforms (Azure AWS GCP).
• Exposure to MLOps tools (MLflow Kubeflow Docker).
• Understanding of ethical AI bias mitigation and security practices.

Vertical

Technology