Senior Software Engineer - Gen AI
Wells Fargo
- Location
- Bengaluru South, Karnataka, India
- Job type
- Full-time
Required skills
- LangChain
- Python
- Agile
- AJAX
- AWS
- Angular
- Ansible
- Azure
- compliance
- data science
- Datadog
- DevOps
- end-to-end
- GCP
- Hadoop
- infrastructure-as-code
- Java
- Jenkins
- jQuery
- React
- SOAP
- Spark
- TensorFlow
- test driven development
- Pytorch
About the role
Wells Fargo
Website:
wellsfargo.com
Job details:
About This Role
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 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
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, 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.
Reference Number
R-525802
Click on Apply to know more.
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