Wells Fargo
Senior Software Engineer - Gen AI
- Compensation
- Not disclosed
- Location
- Bengaluru, India
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Nice to have
- 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 ent
- 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, S
- 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.
Full description
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.