
Leading company in the technology industry
APP-Autonomous Agent Mobile Apps-NEW-DIR-REG-FT-GIDCI-LEV10-NET-Dev1 at Luxoft (DXC)
About the role
Job Description:
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We are looking for an AI engineers with “**Model Context Protocol (MCP)”**and advanced LLM framework along with experience using Python.
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8-12 Years experience in .Net Core Technologies
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Hands-on service design, schema design and application integration design
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Hands-on software development using C#, .Net Core
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Minimum of 2+ years of Python development hands-on experience and well versed (mandatory)
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1-2+ years of creating MCP agents (mandatory)
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Experience on AI Agent tools like Github Co-pilot, Claude CLI, Kiro (mandatory)
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Use of multiple Cloud native database platforms including DynamoDB, SQL, Elasticache, and others
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Hands-on application design for high availability and resiliency
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Hands-on problem resolution across a multi-vendor ecosystem
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Conduct Code reviews and peer reviews
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Unit test and Unit test automation, defect resolution and software optimization
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Actively engaged with Client IT and Client Business during daily work sessions
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Code deployment using CI/CD processes
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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
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Understand business requirements and technical limitations
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Ability to learn new technologies and influence the team and leadership to constantly implement modern solutions
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Experience in using Elasticsearch, Logstash, Kibana (ELK) stack for Logging and Analytics
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Experience in container orchestration using Kubernetes
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Knowledge and Experience working with public cloud AWS services
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Knowledge of Cloud Architecture and Design Patterns
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Ability to prepare documentation for Microservices
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Monitoring tools such as Datadog, Logstash
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Excellent Communication skills
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Airline industry knowledge is preferred but not required
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available
[here](https:** //nam12.safelinks.protection.outlook.com/?url=https://careers.dxc.com/global/en%23fraud_warning&data=05%7c01%7cjhanda%40dxc.com%7cdfc9200ee54a4a2cbd1e08dbecc892f9%7c93f33571550f43cfb09fcd331338d086%7c0%7c0%7c638364118427715875%7cUnknown%7cTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7c3000%7c%7c%7c&sdata=s0zVysf9f4QibEs/xNc7yE0vzT4Ae61CRppkSzWUOGw%3D&reserved=0).
Required skills
MCP
LLMs
Python
C#
.NET Core
AI agents
Service design
Kubernetes
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About Luxoft (DXC)

Luxoft (DXC)
AcquiredLuxoft is a digital strategy and software engineering services company that was acquired by DXC Technology in 2019. The company provides software development, consulting, and digital transformation services to enterprise clients across various industries.
10,001+
Employees
Zug
Headquarters
Reviews
10 reviews
4.0
10 reviews
Work-life balance
3.8
Compensation
2.5
Culture
4.1
Career
3.2
Management
2.8
72%
Recommend to a friend
Pros
Flexible work hours
Supportive and encouraging team atmosphere
Good work-life balance
Cons
Poor management communication and direction
Non-competitive compensation and salary
Heavy workload and long hours
Salary Ranges
123 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Specialist
1 reports
$134,443
total per year
Base
$103,418
Stock
-
Bonus
-
$134,443
$134,443
Interview experience
46 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
38%
Experience
Positive 66%
Neutral 16%
Negative 18%
Interview process
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
Common questions
Tell me about a challenging project
System design question
Coding problem
Why this company
Latest updates
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