4 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Build AI services, agents, retrieval pipelines, tools, and application integrations.
- Develop production-quality Python services and APIs.
- Connect AI systems to enterprise data sources and business applications.
- Implement automated tests, evaluations, logging, tracing, and monitoring.
- Troubleshoot model outputs, data quality, integration failures, and performance issues.
- Support deployment, user testing, and production stabilization.
- Document reusable components and implementation patterns.
Requirements
- At least 3 years of experience is required.
- 15 years of full-time education is required.
- Meaningful production coding experience in software, AI, ML, or data systems; coursework, certifications, and prototype-only experience are insufficient.
- Experience with Google Cloud Platform is required.
- Practical experience using Cursor, GitHub Copilot, Claude Code, Codex, or Replit Agent to build and deploy AI services, write task specifications, validate generated code, create tests, troubleshoot failures, and work safely with Git and CI/CD.
- Knowledge of Python, APIs, data structures, software engineering, testing, LLMs, RAG, embeddings, vector databases, tool calling, prompt design, cloud services, Docker, Git, CI/CD, SQL, backend frameworks, secure coding, observability, latency, and cost considerations.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.