Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Python (Programming Language)
Positive to have skills : Generative AI
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education Role Summary Build and deploy production-grade AI applications using LLMs, RAG pipelines, and agentic systems
Work across backend (Python/FastAPI) and frontend (React/JavaScript) stacks
Deploy and operate AI services in cloud-native Kubernetes environment
Leverage modern GenAI frameworks and tooling to accelerate development Key Responsibilities Design and develop LLM-powered backend services using Python and FastAPI
Build Retrieval-Augmented Generation (RAG)
pipelines using vector databases
Implement agentic workflows using frameworks such as AutoGen or similar
Design and expose RESTful APIs following OpenAPI / REST API specifications
Integrate backend AI services with React + JavaScript frontend applications
Deploy, manage, and scale AI services on Kubernetes
Use LangChain to orchestrate prompts, tools, chains, memory, and agents
Use LangSmith for
Prompt/version tracking
LLM tracing and debugging
Evaluation and performance monitoring
Apply prompt engineering best practices and maintain reusable prompt libraries
Collaborate with cross-functional teams to deliver end-to-end AI solutions
Ensure security, reliability, observability, and performance of AI system Additional summary:
The candidate should have minimum 5 years of experience in Python (Programming Language).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
📌 Full Stack Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru
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