Wells Fargo is hiring a Software Engineer โ AI Engineer in Hyderabad for an exciting role focused on Generative AI, LLMs, Agentic AI, RAG, Python, data engineering, knowledge retrieval and cloud-native application development. The position is particularly suited to professionals who have both strong software engineering fundamentals and practical experience building enterprise AI solutions.
๐ Job Overview
๐ข Company: Wells Fargo
๐ผ Role: Software Engineer โ AI Engineer
๐ Job ID: R-573885
๐ Location: Hyderabad, Telangana, India
๐ป Job Type: Full Time
๐ผ Experience: 3โ6 years preferred
๐ค AI/GenAI Experience: 1โ3 years
๐ Primary Language: Python
๐ฏ Focus: GenAI, LLMs, RAG, Agentic AI, Data Engineering, Cloud & AI/LLMOps
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Posting End Date: September 23, 2026
๐ฆ About Wells Fargo
Wells Fargo is a major global financial-services company with technology teams supporting banking, financial products and enterprise operations. Its India organization is an important extension of the company’s technology, operations and corporate-support capabilities, with locations including Hyderabad, Bengaluru and Chennai.
This particular opportunity sits at the intersection of financial services and enterprise artificial intelligence, making it especially interesting for engineers who want to work on production-grade AI rather than only experimental or academic projects.
๐ Why This Role Is Great for Experienced Professionals
Professionals can gain exposure to:
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Enterprise LLM applications
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Agentic AI and AI assistants
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Retrieval-Augmented Generation (RAG)
โ
LangChain and LangGraph
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Vector databases and semantic search
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Knowledge graphs using Neo4j
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Large-scale ETL/data pipelines
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Databricks and Spark
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Python APIs and microservices
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Cloud-native development
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AI/LLMOps and production deployment
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Security, observability and automated testing
๐งโ๐ป Skills Required
๐น Advanced Python and OOP
๐น Data Structures and Algorithms
๐น Design Patterns
๐น Asynchronous programming
๐น REST APIs and microservices
๐น GenAI and LLM application development
๐น Prompt Engineering
๐น RAG architecture
๐น LangChain and LangGraph
๐น Embeddings and semantic retrieval
๐น Vector databases โ Pinecone, FAISS, OpenSearch or ChromaDB
๐น Neo4j and knowledge graphs
๐น NLP and information retrieval
๐น Spark and Pandas
๐น Databricks
๐น ETL/ELT pipeline development
๐น SQL, NoSQL and data modeling
๐น GCP/cloud-native technologies
๐น CI/CD and DevOps
๐น Automated testing and observability
๐น AI/LLMOps
๐น Secure production deployment
๐ฏ Expected Wells Fargo Interview Rounds
Round 1 โ Recruiter/Initial Screening: Expect discussion around your experience, Python, GenAI projects, current role, notice period, location and compensation.
Round 2 โ Technical Coding/Engineering: Prepare Python coding, DSA, OOP, API development, debugging and software-engineering fundamentals. Recent Wells Fargo Hyderabad interview reports describe technical rounds involving DSA, system design and core engineering concepts.
Round 3 โ AI/GenAI Technical Round: For this specific role, expect deeper questions around LLMs, RAG, embeddings, vector databases, prompt engineering, LangChain/LangGraph, agentic workflows and evaluation.
Round 4 โ Architecture/Managerial Round: Be prepared to design an enterprise AI solution, discuss scalability, security, observability, deployment and production challenges. Wells Fargo interview experiences also show project deep-dives and managerial discussions.
Round 5 โ HR/Final Discussion: This may cover communication, collaboration, work preferences, compensation and joining timeline.
๐ฐ Expected Salary Range
Wells Fargo has not published a compensation range for this specific AI Engineer requisition. Current market data shows Software Engineer compensation at Wells Fargo in India around โน17โ22 LPA in Glassdoor’s overall data, while recent Hyderabad submissions show approximately โน19โ43 LPA for Software Engineer profiles depending on experience and level.
For this specialized 3โ6-year AI Engineer role, an indicative expectation of approximately โน20โ35+ LPA total compensation may be reasonable, depending on GenAI experience, technical depth, current compensation and level. This is an estimate, not an official Wells Fargo salary range.
๐ฅ Preparation Tips
๐ก Build one end-to-end RAG project: Create a document-Q&A system using embeddings, a vector database, retrieval, reranking and an LLM. Be ready to explain every architectural decision.
๐ก Master RAG failure modes: Prepare for questions about hallucinations, irrelevant retrieval, chunking, embedding selection, context windows and evaluation.
๐ก Practice Agentic AI: Understand how LangGraph-style workflows can coordinate multiple steps, tools, memory and decision-making.
๐ก Revise Python deeply: Focus on async programming, decorators, generators, concurrency, error handling, testing and performance.
๐ก Know data pipelines: Be ready to design an ETL pipeline using Spark/Databricks for structured and unstructured enterprise data.
๐ก Prepare vector-search architecture: Understand indexing, similarity search, metadata filtering, hybrid search and retrieval latency.
๐ก Think production-first: Explain monitoring, security, CI/CD, model evaluation, prompt/version management and rollback strategies.
๐ก Prepare AI evaluation: Know how you would measure retrieval quality, groundedness, relevance, latency and hallucination rates.
๐ Resume Tips
Your resume should immediately position you as an AI/GenAI Software Engineer, not simply a Python developer.
Prioritize keywords such as Python, GenAI, LLM, RAG, LangChain, LangGraph, Prompt Engineering, Vector Database, Embeddings, Semantic Search, Databricks, Spark, REST APIs, Microservices, GCP and LLMOps where genuinely applicable.
Show complete projects rather than simply listing AI tools. For example: โBuilt a RAG-based enterprise knowledge assistant using Python, LangChain, embeddings and vector search, improving document retrieval accuracy by X%.โ
Quantify results involving latency, accuracy, automation, cost reduction, throughput or productivity.
If you have production GenAI experience, make it one of the first sections of your resume because the JD specifically asks for 1โ3 years of AI/GenAI experience.
๐ How to Apply
๐ Application Link: Click Here
๐ค Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Wells Fargo and request a referralโit can significantly enhance your visibility in the hiring process.
Interested candidates should apply through the official Wells Fargo Careers portal using Job ID R-573885. The position is listed for Hyderabad and the posting currently shows September 23, 2026 as the end date. Because Wells Fargo notes that the job may be removed early due to application volume, candidates should avoid waiting until the closing date.
๐ Final Thoughts
The Wells Fargo Software Engineer โ AI Engineer opening is an excellent opportunity for professionals who can combine strong Python/software engineering with practical GenAI and data-engineering expertise. The strongest candidates will likely be those who can demonstrate not only how to build an LLM application, but also how to make it secure, scalable, observable, testable and production-ready.
If your experience includes RAG, Agentic AI, LangChain/LangGraph, vector databases, Databricks, Spark and enterprise AI applications, this Hyderabad opportunity is definitely worth exploring. ๐ค๐๐
