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Wells Fargo is seeking a Senior Software Engineer - Gen AI
Job Responsibility:
Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
Requirements:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Proficiency in Python, Java Script, AJAX, jQuery, Angular/React
knowledge & AI frameworks (like: LangChain, LangGraph
Experience with ML libraries and frameworks like: TensorFlow, PyTorch. Hands on experience in building or training models, tuning hyperparameters.
Experience in Generative AI technologies like Retrieval-Augmented Generation (RAG) – end-to-end pipelines (Vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise.
Deep understanding of microservice based distributed architecture, cloud platforms (AWS, Azure & GCP), and infrastructure-as-code.
Strong background in Data Science and Analysis: Ability to process, clean and analyse data using statistical techniques to derive actionable insights. Knowledge of data processing tools like Hadoop, Spark
Ability to deal in solving complex problems with ambiguous requirements, spot emerging tech trends and drive Proof of concepts or pilot solutions
Well versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices.
Experience in leveraging Rest/SOAP Web-APIs for integrations.
Experience in using enterprise-wide tooling for CICD: Harness, Jenkins.
Expertise in enterprise tools like: Ansible & observability tools (e.g., Prometheus, Grafana, ELK, Datadog), Incident Management tools like Service Now.
Self-motivated with genuine curiosity to stay ahead of the curve by engaging in continuous learning through courses, certifications and research papers.