Python Developer – Agentic AI

Role Overview

• 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 GCP 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.

Tech Stack

• Cloud
• Distributed Systems
• Docker
• Google Cloud Platform
• Kafka
• Kubernetes
• Microservices
• MongoDB
• NoSQL
• Numpy
• OpenShift
• Pandas
• Python
• RabbitMQ
• React

Benefits

• A highly competitive compensation and benefits package
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & paternity leave plans
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving, and global work culture