1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Own NLP and Generative AI solutions from design through production.
- Build LLM-based chatbots, RAG systems, AI assistants, and cloud-native applications on Azure.
- Design data ingestion, preprocessing, document update, prompt engineering, embedding, vector search, and evaluation pipelines.
- Develop asynchronous APIs with FastAPI or Flask and implement rate limiting, retries, load balancing, and fault tolerance for LLM APIs.
- Deploy, monitor, and scale applications on Azure Cloud using logging and observability tools.
- Deliver rapid proofs of concept and MVPs under tight timelines.
- Mentor junior engineers and support team delivery.
Requirements
- At least 7.5 years of professional experience is required.
- At least 5 years of experience in NLP, AI, or ML is specified.
- Advanced Python skills and hands-on experience with LLMs, RAG, prompt engineering, and Generative AI are required.
- Experience with Azure OpenAI or other LLM platforms, Azure Cloud services, and FastAPI or Flask is required.
- Experience with vector databases, agentic libraries such as LangChain, LangGraph, and AutoGen, computer vision, and document processing is listed.
- Proven production deployment of Generative AI systems is required.
- A qualification of 15 years of full-time education is required.
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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.