Sr Python Backend Engineer

 Sr Python Backend Engineer

Location : Charlotte, NC (Only Local Candidate)\

Client : Wells Fargo (We are working with Prime Vendor)

Mode Of Interview : In-Person

We are seeking a Python Backend Engineer to join an enterprise analytics and AI platform team. This role focuses on building and operating Python based backend services that support analytical workflows, AI assisted processing, and document centric use cases. candidate will design, build, and maintain microservices deployed on a container platform, integrate with enterprise systems, and support regulated production releases with strong reliability, observability, and operational discipline.

Responsibilities:

·         Build Large Language Model (LLM)–powered applications that enable advanced capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, and safety guardrails.

·         Develop systems leveraging LLMs, including data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation.

·         Design, code, test, and document solutions aligned with business objectives and enterprise standards.

·         Collaborate and consult with key technical experts and cross‑functional technology teams to resolve complex technical challenges.

·         Participate actively across the full software development lifecycle, from design through production support.

·         Own application development, maintenance, and adherence to security requirements.

·         Partner closely with India‑based stakeholders for requirement clarification and solution discussions.

·         Collaborate with Product, Scrum Master, Developers, QA, and other stakeholders as needed.

·         Stay current with emerging AI technologies and contribute to strategy discussions for future capability development.

Requirements:

·         7+ years of backend application development experience, with strong proficiency in Python and NoSQL databases, particularly MongoDB.

·         Strong hands‑on experience with Agentic AI frameworks such as Google ADK (preferred), LangChain, or LangGraph, including the design and implementation of multi‑agent systems.

·         Experience building GenAI‑enabled solutions, including Retrieval‑Augmented Generation (RAG) and agentic workflows, with a solid understanding of prompt engineering, grounding, and extensibility.

·         In‑depth experience with Python libraries and tools such as NumPy, Pandas, and PyMongo.

·         Design, develop, and deploy Python‑based microservices using FastAPI.

·         Design and implement secure REST APIs consumed by React‑based applications and integrate with upstream/downstream interface systems.

·         Implement event‑driven architectures using messaging platforms such as Kafka, RabbitMQ, or ActiveMQ for asynchronous processing.

·         Experience working with Model Context Protocol (MCP) servers and clients to securely expose internal services, APIs, and data stores to LLMs.

·         Strong experience writing complex MongoDB queries and performing data aggregation.

·         Understanding of cloud‑native principles with hands‑on experience developing applications in cloud environments; OpenShift (OCP) experience is preferred.

·         Experience with CI/CD tools such as GitHub, GitHub Actions, Harness, JFrog Artifactory, Sonar, OpenShift/Kubernetes, and Docker.

·         Experience with automated testing frameworks including Pytest and MagicMock.

·         Working knowledge of ML and NLP concepts, including Google Cloud Platform services such as Document AI, Information Retrieval, Summarization, and LLMs.

·         Experience working in an Agile software development lifecycle.

·         Strong understanding of high availability, scalability, and resilience in distributed systems.

·         Ability to design and implement efficient multithreading and concurrency in backend services.

Preferred, but not required:

·         Strong analytical and problem‑solving skills with the ability to reason through complex problems independently or collaboratively.

·         Ability to mentor team members on solution design and implementation best practices.

·         Excellent written and verbal communication skills.

·         Strong interpersonal skills with the ability to navigate team dynamics and exercise sound judgment to achieve outcomes.

·         Understanding of Banking/Lending domain.