Custom Software Engineer
Accenture · Not specified · onsite · Posted 53d ago
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About this role
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : AI & Data Solution Architecture
Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education
Summary Seeking an experienced Python + AI-GenAI Engineer with expertise in building enterprise-grade GenAI applications, intelligent search solutions, Agentic AI workflows, and scalable data processing pipelines. The ideal candidate should have hands-on experience with LLMs, RAG, Vector Databases, and modern AI frameworks.
Experience 4+ years of Python development experience 2+ years of AI-GenAI-RAG and LLM application development Roles & Responsibilities Design, develop, and maintain AI-powered applications using Python. Build enterprise GenAI solutions leveraging LLMs and Natural Language Interfaces. Develop and optimize RAG, Text-to-SQL, Semantic Search, and Agentic AI solutions. Design and implement scalable data ingestion and processing pipelines. Integrate AI models with enterprise applications and APIs. Monitor, troubleshoot, and optimize AI application performance. Contribute to architecture decisions and mentor team members. Must Have Skills Python, OOPs, Design Patterns, Unit Testing FastAPI, Flask, Django REST Framework SQL, Data Modeling, Shell Scripting Pandas, NumPy, DataFrames Authentication & Authorization (JWT-OAuth-SSO) LLM Integration (OpenAI, Gemini, Anthropic, or similar) Vector Search, Semantic Search, Agentic AI Workflows GenAI Tooling and Natural Language Interface Development RAG Pipeline Development & Optimization Text-to-SQL Systems LangChain, LangGraph, Sentence Transformers Hugging Face Transformers Embedding Models (OpenAI, BERT, or similar) Vector Databases (FAISS, Qdrant, Weaviate, or similar) Create and manage Embeddings and Vector Stores Grafana Monitoring & Observability Git, CI-CD Good to Have Azure OpenAI, AWS Bedrock LlamaIndex, MCP Docker, Kubernetes AWS-Azure Cloud Microservices Architecture
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