Software Engineer - AI Engineer
Wells Fargo1 day ago
Hyderābād, IndiaMid Level / Senior
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.
Tech Stack
Categories
About 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, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.