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

EbenePosted about 1 month agoDiscoveredMatch locked

What if we didn’t focus on who you are now, but who you could become?

Here at EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity: your next adventure awaits

Technology Consulting business is a fast-growing sub-service line within EY’s Consulting service line. A dynamic group focused on providing high-value independent, trusted advice to clients, with a focus on transformation programmes. EY work with clients in creating value and delivering world-class Digital, Data & IT capabilities to support business needs. Working closely with our industry groups and leveraging the EY brand as independent, trusted advisors, we provide our high-profile clients with a range of services. 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.

Your Key Responsibilities

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

To qualify, candidates must have

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

What We Offer

Opportunity to build cutting-edge AI agents and products from the ground up

An AI-native engineering culture where modern tooling is embraced, not restricted

What we look for

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. If you have a genuine passion for helping businesses achieve their full potential, this role is for you. If you have the confidence to speak up and influence a team that affects big businesses worldwide, this role is for you.

What working at EY offers

At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development. Plus, we offer:

Support, coaching, and feedback from some of the most engaging colleagues around.

Opportunities to develop new skills and progress your career.

The freedom and flexibility to handle your role in a way that’s right for you.

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

About EY

As a global leader in Assurance, Consulting, Strategy and Transactions, Tax, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. So that whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. EY will recommend applicants to read our privacy statement prior to completing the pre application form above:

About the role

https://www.ey.com/en_gl/privacy-statement

Skills

artificial-intelligencegopythonllmgrpcmachine-learningragci-cdfastapigitlangchainaws

Who can apply

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