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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 and generative AI applications using LLMs, agentic AI, RAG, and knowledge retrieval architectures.
  • Build scalable Python applications, APIs, microservices, automation frameworks, and cloud-native distributed systems.
  • Design and implement ETL/ELT pipelines, data ingestion frameworks, orchestration solutions, and transformation processes using Databricks, Spark, and distributed processing technologies.
  • Develop AI assistants, intelligent chatbots, knowledge retrieval platforms, document intelligence solutions, copilots, and AI-driven automation capabilities.
  • Build and optimize semantic search and knowledge retrieval platforms using embeddings, vector databases, Neo4j knowledge graphs, and information retrieval techniques.
  • Contribute to reusable AI frameworks, accelerators, engineering standards, AI/LLMOps practices, code reviews, architectural discussions, and production deployment.
  • Collaborate with technology leaders, data engineers, architects, business stakeholders, and cross-functional teams to deliver secure and reliable AI solutions.

Requirements

  • At least 2 years of software engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
  • Desired 3–6 years of experience developing and delivering enterprise-scale applications, platforms, and distributed systems.
  • Strong Python development experience, including object-oriented design, design patterns, asynchronous programming, API development, automation, performance tuning, and debugging.
  • Experience with data engineering and large-scale data processing, including ETL/ELT pipelines, data ingestion, orchestration, and transformation.
  • At least 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 developing enterprise AI applications such as AI assistants, intelligent chatbots, knowledge retrieval platforms, document intelligence solutions, and AI-driven automation.
  • Knowledge of vector databases, retrieval technologies, semantic search, NLP, information retrieval, and Neo4j knowledge graphs.
  • 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 automated testing, DevOps, observability, security, AI/LLMOps, production deployment frameworks, code reviews, and Agile development.

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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