Senior AI Engineer
- Wells Fargo
- 6 - 11 years
- Bengaluru
- 3 days ago
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Job Description
About this role:
Wells Fargo is seeking a Senior AI Engineer
In this role, you will:
- AI, LLM & Agent Development
- Build and deploy LLM-powered applications using commercial and open-source models
- Design and implement Retrieval Augmented Generation (RAG) pipelines
- Create AI agents that reason over structured (graph) and unstructured data
- Define and implement tool-use patterns for agents (function calling, API tools, memory tools)
- Apply strong prompt engineering techniques for reliability, safety, and performance
- Graph, Vector & NLP Systems
- Design and manage knowledge graphs using Neo4j
- Model complex relationships and optimize graph queries (Cypher)
- Implement semantic search using vector databases
- Apply NLP concepts such as embeddings, entity extraction, classification, summarization, and similarity search
- MCP & AI Platform Engineering
- Set up and operate Model Context Protocol (MCP) servers
- Register datasets, APIs, and tools for secure LLM access
- Enable scalable, observable, and governed LLM interactions
- Python, APIs & Backend Services
- Build AI microservices using Python (FastAPI / Flask)
- Integrate and consume internal and external APIs within AI workflows
- Develop pipelines for ingestion, embedding generation, indexing, and retrieval
- Model Evaluation & Optimization
- Evaluate LLM and NLP models using qualitative and quantitative techniques
- Measure and monitor performance (accuracy, latency, cost, hallucinations)
- Continuously iterate on prompts, retrieval strategies, and model configurations
Required Qualifications:
- 6+ years of AI Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- Strong hands-on experience with Python, Spark, Scala
- Experience with Deep Learning frameworks (PyTorch, TensorFlow, or equivalent)
- Solid understanding of NLP concepts and modern language modeling techniques
- Practical experience with LLMs, prompt engineering, and agent-based systems
- Hands-on with Neo4j or other graph databases
- Experience using vector databases for similarity search and embeddings
- Experience with MCP server setup or LLM tool orchestration frameworks
- Strong experience working with REST APIs, function calling, and tool integrations
- Knowledge of model evaluation and monitoring techniques
- Familiarity with Git and CI/CD pipelines
Nice to Have
- Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks
- Cloud experience (Azure preferred; AWS/GCP welcome)
- Experience with Docker and Kubernetes
- Knowledge of knowledge graphs, ontologies, or semantic systems
- Exposure to AI governance, security, or responsible AI practices
Job Expectations:
- Bachelors or Masters degree in Computer Science, Engineering, AI/ML, or related field
- Experience delivering enterprise-scale AI or data platforms
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: Wells FargoLocation(s): Bengaluru
Keyskills: Senior AI Engineer kubernetes rest python scala ai llm microservices docker ai engineer deep learning tensorflow neo4j git nlp model evaluation spark gcp compliance pytorch flask aws azure graph databases
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Wells Fargo
'Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.'
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