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Software Engineer - AI Engineer

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Software Engineer - AI Engineer in Others new

  • Wells Fargo
  • Full time
  • Email
  • Hyderābād, India

Responsibilities

  • Design, develop, and deploy enterprise AI applications and Generative AI solutions using LLMs, Agentic AI, RAG, and knowledge retrieval architectures.
  • Build scalable Python applications, APIs, microservices, automation frameworks, and distributed systems.
  • Design and implement data engineering and ETL pipelines using Databricks, Spark, and distributed processing technologies.
  • Develop AI assistants, intelligent chatbots, knowledge retrieval platforms, document intelligence solutions, and AI-driven automation capabilities.
  • Build and optimize semantic search and knowledge retrieval systems using embeddings, vector databases, information retrieval techniques, and Neo4j knowledge graphs.
  • Create secure, scalable cloud-native applications and contribute to AI/LLMOps frameworks, reusable accelerators, and enterprise AI capabilities.
  • Collaborate with cross-functional teams, participate in code reviews and architectural discussions, and support production deployment.
  • Contribute to engineering standards, best practices, observability, security, automated testing, and reliable AI delivery.

Requirements

  • At least 2 years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
  • Strong Python development experience, including object-oriented design, design patterns, asynchronous programming, API development, automation, performance tuning, and debugging.
  • Preferred experience of 3-6 years developing and delivering enterprise-scale applications, platforms, and distributed systems.
  • Preferred 1-3 years of experience building LLM-based Generative AI applications using GPT or enterprise LLMs, LangChain, LangGraph, RAG, prompt engineering, embeddings, and semantic retrieval.
  • Experience with data engineering and large-scale data processing, including ETL/ELT pipelines, data ingestion frameworks, orchestration, and transformation processes.
  • Experience using Spark, Pandas, Databricks, and other distributed computing platforms.
  • Experience developing enterprise AI applications such as AI assistants, intelligent chatbots, knowledge retrieval platforms, document intelligence solutions, and AI-driven automation.
  • Understanding of knowledge management and search architectures, including Pinecone, OpenSearch, FAISS, ChromaDB, Neo4j knowledge graphs, semantic search, NLP, and information retrieval frameworks.
  • Experience building REST APIs, microservices, and cloud-native applications using GCP and associated AI/ML services.
  • Knowledge of SQL, NoSQL, graph databases, data modeling, and enterprise data architecture principles.
  • Understanding of software engineering practices including automated testing, code reviews, observability, security, DevOps, CI/CD, Agile methodologies, AI/LLMOps, and production deployment frameworks.

Wells Fargo

Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, an...

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