> Markdown version of [/jobs/ext/2682438-software-engineer-ai-agentic-solutions-tech-consulting-ey-mauritius](https://www.wearedevelopers.com/jobs/ext/2682438-software-engineer-ai-agentic-solutions-tech-consulting-ey-mauritius). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Software Engineer (AI Agentic Solutions) - Tech Consulting - EY Mauritius

- **Company:** Ernst & Young GmbH
- **Location:** Stuttgart, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Information Leak Prevention, Cursor (Graphical User Interface Elements), Memory Management, Python (Programming Language), Machine Learning, NoSQL, NumPy, Object-Oriented Software Development, Open Source Technology, Performance Tuning, Rapid Prototyping Process, Standard Sql, Software Deployment, GitHub Copilot, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Git, Fastapi, Pandas, Build Management, Kubernetes, Information Technology, Production Code, Machine Learning Operations, Grpc, Code Restructuring, Software Version Control, Data Pipelines, Docker, Golang, Microservices
- **Published:** September 2, 2026
- **Apply:** https://careers.ey.com/talentcommunity/apply/1406744833/?locale=en_GB

## About the Role

* A related bachelor's degree in Computer Science, Information Technology, or a related field or any STEM degree (Science, Technology, Engineering or Mathematics)
 * Approximately 3-6 of experience in related field will be an advantage.
 * Design, develop, and deploy applications and microservices in Golang and Python that leverage AI/ML capabilities
 * Architect and build AI agents - multi-step reasoning workflows, tool/function calling, memory, planning, and orchestration - using frameworks like LangChain, LangGraph, CrewAI, or custom agentic loops
 * Build and integrate solutions using LLM APIs (Anthropic, OpenAI, etc.) including RAG pipelines, prompt engineering, and vector database integrations (pgvector, Pinecone, FAISS)
 * Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) effectively for rapid prototyping, refactoring, test generation, and agent-driven coding workflows
 * Develop high-performance backend services and APIs (Gin/Echo/gRPC in Go; FastAPI in Python)
 * Write clean, testable, production-grade code with proper version control (Git) and CI/CD practices
 * Collaborate with cross-functional teams to translate business problems into AI-driven solutions

Ideally, you will also have

 * Strong hands-on Golang development: goroutines, channels, concurrency patterns, building high-performance microservices, gRPC, and CLIs
 * Strong hands-on Python development (3+ years): OOP, async programming, common libraries (Pandas, NumPy)
 * Deep practical understanding of building AI agents - agent architectures (ReAct, plan-and-execute), tool calling, MCP (Model Context Protocol), context/memory management, and agent evaluation
 * Demonstrated experience using AI coding tools (Claude Code, GitHub Copilot, etc.) as part of the development workflow - agentic coding, spec-driven development, and prompt-based engineering, not just autocomplete
 * Solid AI/ML fundamentals: how LLMs work, embeddings, fine-tuning vs. RAG, evaluation basics
 * Working knowledge of SQL/NoSQL databases; exposure to vector databases is a plus
 * Familiarity with cloud platforms (AWS/Azure/GCP), Docker, and Kubernetes basics

Good to Have

 * Multi-agent orchestration and inter-agent communication patterns (A2A, agent swarms)
 * Exposure to MLOps, model deployment, or fine-tuning open-source models (LoRA/QLoRA)
 * Understanding of AI security concerns (prompt injection, data leakage, agent guardrails)
 * Contributions to open-source AI/agent projects, If you're a natural leader, with a talent for motivating individuals, building relationships, and solving complex client problems, we're interested in you. You'll need to be ready to listen and confident in challenging the status quo. Top performers in this role will have strong experience contributing content to pursuits, collaboratively structuring work, managing teams, developing reusable collateral, and experience working with client executives.

## Description

We are looking for a hands-on developer with strong expertise in Golang and Python who can design and build AI-powered solutions and autonomous agents end to end. You will work on integrating LLMs into production systems - APIs, data pipelines, and agentic workflows - and will be expected to leverage modern AI coding tools (Claude Code, GitHub Copilot, Cursor) as a force multiplier in your daily development., * Design, develop, and deploy applications and microservices in Golang and Python that leverage AI/ML capabilities

 * Architect and build AI agents - multi-step reasoning workflows, tool/function calling, memory, planning, and orchestration - using frameworks like LangChain, LangGraph, CrewAI, or custom agentic loops
 * Build and integrate solutions using LLM APIs (Anthropic, OpenAI, etc.) including RAG pipelines, prompt engineering, and vector database integrations (pgvector, Pinecone, FAISS)
 * Use AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) effectively for rapid prototyping, refactoring, test generation, and agent-driven coding workflows
 * Develop high-performance backend services and APIs (Gin/Echo/gRPC in Go; FastAPI in Python)
 * Write clean, testable, production-grade code with proper version control (Git) and CI/CD practices
 * Collaborate with cross-functional teams to translate business problems into AI-driven solutions
 * Other cognate duties


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