AI Engineer

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As an AI Engineer, you will be responsible for building and deploying AI-powered systems, including RAG pipelines and agentic systems. You will design and implement backend services using Python and FastAPI, and integrate with various tools and systems. You will also deploy and operate services on AWS, ensuring scalability and reliability.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Experience building RAG pipelines and agentic systems
• Strong understanding of LLM orchestration frameworks (e.g. LangChain, LangGraph, Langfuse)
• Strong backend engineering experience with Python
• Hands-on experience building APIs/services with FastAPI
• Experience integrating with MCP tools, internal APIs, and enterprise systems
  
  

Preferred Technical And Professional Experience

• Expertise with OpenSearch (index design, ingestion pipelines, analyzers, relevance tuning)
• Knowledge of embeddings generation and vector database best practices
• Experience with OpenSearch plugins, custom scoring, or ingestion frameworks
• Familiarity with Kubernetes
• Experience with observability stacks (OpenTelemetry, Prometheus, Grafana, Langfuse)