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