Senior Software Engineer - Gen AI

Job description:

Wells Fargo is seeking a Senior Software Engineer - Gen AI.

In this role, you will:

• 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 client 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.

Required Qualifications:

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications:

• Proficiency in Python, JavaScript, AJAX, jQuery, Angular/React.
• Knowledge of AI frameworks like LangChain and LangGraph.
• Experience with ML libraries and frameworks like TensorFlow and PyTorch. Hands-on experience in building or training models and tuning hyperparameters.
• Experience in Generative AI technologies like Retrieval-Augmented Generation (RAG), including end-to-end pipelines (vector DBs, chunking, embedding, retrieval, context injection) to ground LLM responses on enterprise data.
• Deep understanding of microservice-based distributed architecture, cloud platforms (AWS, Azure, and GCP), and infrastructure-as-code.
• Strong background in data science and analysis: ability to process, clean, and analyze data using statistical techniques to derive actionable insights. Knowledge of data processing tools like Hadoop and Spark.
• Ability to solve 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, and DevOps practices.
• Experience in leveraging REST/SOAP web APIs for integrations.
• Experience in using enterprise-wide tooling for CI/CD: Harness and Jenkins.
• Expertise in enterprise tools like Ansible and observability tools (e.g., Prometheus, Grafana, ELK, Datadog), and incident management tools like ServiceNow.
• Self-motivated with genuine curiosity to stay ahead of the curve by engaging in continuous learning through courses, certifications, and research papers.