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Software Engineer (AI Agentic Solutions)

EY · Ebene

New
Senior 🇬🇧 English
Golang Python FastAPI LangChain LangGraph CrewAI gRPC Git CI/CD RAG pgvector Pinecone FAISS Claude Code GitHub Copilot Cursor SQL Docker Kubernetes

Job description

About the role

EY Mauritius, in its Technology Consulting practice, is looking for a hands-on developer with strong expertise in Golang and Python to design and build AI-powered solutions and autonomous agents end to end. You will work on integrating LLMs into production systems such as APIs, data pipelines and agentic workflows, and will use modern AI coding tools as a force multiplier.

Key responsibilities

  • Design, develop and deploy applications and microservices in Golang and Python that leverage AI/ML capabilities
  • Architect and build AI agents with multi-step reasoning, tool/function calling, memory, planning and orchestration, using frameworks such as LangChain, LangGraph, CrewAI or custom agentic loops
  • Integrate LLM APIs (Anthropic, OpenAI, etc.), RAG pipelines, prompt engineering and vector database integrations (pgvector, Pinecone, FAISS)
  • Use AI-assisted tools (Claude Code, GitHub Copilot, Cursor) for rapid prototyping, refactoring, test generation and agent-driven coding
  • Develop high-performance backend services and APIs (Gin/Echo/gRPC in Go; FastAPI in Python)
  • Write clean, testable, production-grade code with Git and CI/CD, and collaborate with cross-functional teams

Required profile

  • Bachelor's degree in Computer Science, Information Technology or another STEM field
  • 3-6 years of experience in a related field is an advantage
  • Ideal candidate: strong hands-on Golang and Python (3+ years), deep practical understanding of AI agents (ReAct, plan-and-execute, tool calling, MCP, context/memory management), solid AI/ML fundamentals, and working knowledge of SQL/NoSQL databases
  • Nice to have: multi-agent orchestration, MLOps or model fine-tuning exposure, AI security awareness, open-source contributions, and familiarity with AWS/Azure/GCP, Docker and Kubernetes

What we offer

  • The chance to build cutting-edge AI agents and products from the ground up
  • An AI-native engineering culture embracing modern tooling
  • A competitive remuneration package, flexible working arrangements and support for career development

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Source : ats:successfactors

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Published 7 hours ago

Expires 1 month from now

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EY

Ebene