02 Aug
|
DXC Technology
|
Bengaluru
02 Aug
DXC Technology
Bengaluru
Job Description:
We are looking for an AI engineers with “Model Context Protocol (MCP)” and advanced LLM framework along with experience using Python.
• 8-12 Years experience in .Net Core Technologies
• Hands-on service design, schema design and application integration design
• Hands-on software development using C#, .Net Core
• Minimum of 2+ years of Python development hands-on experience and well versed (mandatory)
• 1-2+ years of creating MCP agents (mandatory)
• Experience on AI Agent tools like Github Co-pilot, Claude CLI, Kiro (mandatory)
• Use of multiple Cloud native database platforms including DynamoDB, SQL, Elasticache, and others
• Hands-on application design for high availability and resiliency
• Hands-on problem resolution across a multi-vendor ecosystem
• Conduct Code reviews and peer reviews
• Unit test and Unit test automation, defect resolution and software optimization
• Actively engaged with Client IT and Client Business during daily work sessions
• Code deployment using CI/CD processes
• Contribute to each step of the development process from ideation to implementation to release, including rapidly prototyping, running A/B tests, continuous Integration, Automated Testing and Continuous Delivery
• Understand business requirements and technical limitations
• Ability to learn new technologies and influence the team and leadership to constantly implement modern solutions
• Experience in using Elasticsearch, Logstash, Kibana (ELK) stack for Logging and Analytics
• Experience in container orchestration using Kubernetes
• Knowledge and Experience working with public cloud AWS services
• Knowledge of Cloud Architecture and Design Patterns
• Ability to prepare documentation for Microservices
• Monitoring tools such as Datadog, Logstash
• Excellent Communication skills
• Airline industry knowledge is preferred but not required
At DXC Technology, we believe solid connections and community are key to our success. Our work model prioritizes in-person colla
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