Software Engineer – AI Agentic Solutions, Finance Transformation

Software Engineer building Golang and Python AI agents, LLM integrations, and backend services for EY’s finance transformation practice. Developing production-grade solutions for clients.

Posted 9/7/2026full-timeEbene • 🇲🇺 MauritiusMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI/ML-enabled applications using Golang and Python, with a strong focus on high-performance backend services, AI agent architectures, and integration of LLM APIs. Proficient in collaborating with cross-functional teams to deliver AI-driven solutions while adhering to best practices in coding and deployment.

Highest-signal resume keywords

Golang DevelopmentPython DevelopmentAI-Agent ArchitecturesLLM API IntegrationCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GolangPythonAI/ML FundamentalsGRPCPandasNumPySQL/NoSQL DatabasesPrompt EngineeringMicroservicesConcurrency Patterns

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

GitHub CopilotClaude CodeDockerKubernetesAWSAzureGCPPgvectorPineconeFAISS

Industry Keywords

AI SecurityOpen-Source ContributionsAgent EvaluationMemory ManagementData Leakage

Tech Stack

Tools & technologies

AWSAzureDockerGoGoogle Cloud PlatformGRPCKubernetesMicroservicesNoSQLNumpyPandasPythonReactSQL

About the role

Key responsibilities & impact

Design, develop, and deploy AI/ML-enabled applications and microservices in Golang and Python
Architect and build AI agents with multi-step reasoning, tool/function calling, memory, planning, and orchestration
Integrate LLM APIs such as Anthropic and OpenAI
Build RAG pipelines, apply prompt engineering, and integrate vector databases including pgvector, Pinecone, and FAISS
Use Claude Code, GitHub Copilot, and Cursor for prototyping, refactoring, test generation, and agent-driven coding
Develop high-performance backend services and APIs using Gin, Echo, gRPC, and FastAPI
Write clean, testable, production-grade code using Git and CI/CD practices
Collaborate with cross-functional teams to translate business problems into AI-driven solutions
Perform other cognate duties

Requirements

What you’ll need

Related bachelor's degree in Computer Science, Information Technology, or a related field, or any STEM degree
Approximately 3–6 years of experience in a related field is advantageous
Strong hands-on Golang development, including goroutines, channels, concurrency patterns, high-performance microservices, gRPC, and CLIs
Strong hands-on Python development, including 3+ years, OOP, async programming, Pandas, and NumPy
Deep practical understanding of AI-agent architectures, including ReAct, plan-and-execute, tool calling, MCP, context/memory management, and agent evaluation
Demonstrated experience using AI coding tools such as Claude Code and GitHub Copilot in development workflows
Solid AI/ML fundamentals, including LLMs, embeddings, fine-tuning versus RAG, and evaluation basics
Working knowledge of SQL/NoSQL databases
Familiarity with AWS, Azure, or GCP
Familiarity with Docker and Kubernetes basics
Understanding of AI security concerns, including prompt injection, data leakage, and agent guardrails
Contributions to open-source AI/agent projects are advantageous

Benefits

Comp & perks

Competitive remuneration package
Flexible working arrangements
Career development support
Support, coaching, and feedback from colleagues
Opportunities to develop new skills and progress your career
Freedom and flexibility to handle the role in a way that suits you
Inclusive employer and flexible working arrangements
Training, opportunities, and creative freedom
Opportunity to build cutting-edge AI agents and products from the ground up
AI-native engineering culture embracing modern tooling