Custom Software Engineer

The Custom Software Engineer role at Accenture focuses on developing enterprise-grade Generative AI applications, intelligent search solutions, and agentic AI workflows. The successful candidate will design, code, and enhance scalable AI-powered systems using modern frameworks and agile practices. Responsibilities include building and optimizing RAG pipelines, Text-to-SQL systems, and semantic search capabilities, as well as designing scalable data ingestion and processing pipelines. The role involves integrating AI models with enterprise applications, monitoring performance, and contributing to architecture decisions. Required qualifications include a minimum of 3 years of experience, with at least 4 years of Python development and 2 years specifically in AI-GenAI-RAG and LLM application development. Candidates must hold 15 years of full-time education. Preferred skills include experience with Azure OpenAI, AWS Bedrock, LlamaIndex, MCP, Docker, Kubernetes, and microservices architecture.
PythonOOPsDesign PatternsUnit TestingFastAPIFlaskDjango REST FrameworkSQLData ModelingShell ScriptingPandasNumPyDataFramesAuthentication & AuthorizationLLM IntegrationVector SearchSemantic SearchAgentic AI WorkflowsGenAI ToolingNatural Language Interface DevelopmentRAG Pipeline DevelopmentText-to-SQL SystemsLangChainLangGraphSentence TransformersHugging Face TransformersEmbedding ModelsVector DatabasesGrafanaCI-CD

Work arrangement
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