Responsibilities
- Design, build, and integrate enterprise applications with Large Language Models and other enterprise services.
- Develop frontend and server-side functionality, APIs, and scalable AI applications.
- Deliver enterprise GenAI solutions using LLM applications, advanced RAG, and multi-agent frameworks.
- Deploy and optimize cloud-native AI applications on Azure and support DevOps automation, monitoring, performance, and resource efficiency.
- Review and improve code quality and application performance with team members.
- Troubleshoot technical issues to maintain system reliability.
- Work independently as a subject-matter expert, contribute to team discussions, and provide solutions to work-related problems.
- Share knowledge with and guide junior team members.
Requirements
- At least 5 years of professional experience is required.
- At least 3 years of experience with Large Language Models is required.
- The technical profile specifies 7 years of experience.
- Proficiency with Large Language Models, Machine Learning, and Generative AI is required.
- Experience delivering enterprise GenAI solutions, including LLM applications, advanced RAG, and multi-agent frameworks.
- Hands-on experience with OpenAI or Azure OpenAI, Agentic SDKs, and LangChain.
- Strong Python engineering experience with FastAPI or similar frameworks such as Django or Flask.
- Experience building and deploying cloud-native AI applications on Azure.
- Experience with GitLab for CI/CD and knowledge of SQL databases and ORMs.
- Knowledge of React, MLOps/LLMOps, evaluation frameworks, observability, and Ansible is preferred.
- Ability to develop and integrate frontend-to-backend APIs and optimize AI applications for performance and resource efficiency.
- 15 years of full-time education is required.
Benefits
- The position is based at the Accenture Pune office.
Tech Stack
Categories
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.