Python with Agentic AI

Synechron•Charlotte, NC

About The Position

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge 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.

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.

Nice To Haves

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.

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.

Benefits

A highly competitive compensation and benefits package.
A multinational organization with 60 offices in 20 countries and the possibility to work abroad.
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.