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REQUIREMENT_ID_1605 • 3-DAY_ACTIVE_POLICY N

C#.Net Developer with AI

Company
Company Xoriant
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary Competitive Package (Best in Industry)
Location
Location Pune, India
Posted Date
Posted Date Yesterday
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Artificial Intelligence .Net WPF C# Development MVVM
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Aptitude Practice Questions & Mock Tests Open Resource ↗
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource ↗
Detailed interview experiences, exam formats, and previous test questions for Xoriant and tech roles.
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Technical Placement Cheat Sheets & Question Bank Open Resource ↗
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource ↗
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Experience: 10-15 Yrs. Open to matching qualifications.

1
Online Assessment / Technical Interview Rounds / HR Review
Role & responsibilities Lead C# & .Net Location: Pune Experience: 09 14 Years Impact you will realize: Job Responsibilities Technical Ownership – Owns delivery of features, modules, and technical outcomes for enterprise-grade Windows desktop applications using C# and WPF. Team Leadership – Mentors and coaches engineers through code reviews, design reviews, and technical guidance, raising overall team engineering maturity. Architecture Influence – Drives technical alignment across the team on MVVM, OOP, design patterns, unit testing, and WPF best practices. Delivery Excellence – Contributes to predictable delivery, engineering efficiency, and operational excellence within Agile environments (Scrum/Kanban). AI & Modernization – Drives responsible AI adoption and contributes to desktop engineering modernization, platform evolution, and technical innovation. Key skills you will require Develop, maintain and enhance Windows desktop applications using C# and WPF. Knowledge of AI is must. The person should know, used, and preferably created agents for coding. Just vibe coding would not be sufficient. Own delivery of features, modules, and technical outcomes within a defined engineering area. Collaborate with cross-functional teams to define, design, implementation, testing, and release of enterprise-grade desktop applications Mentor and coach engineers through code reviews, design reviews, technical guidance, and continuous feedback Drive technical alignment across the team on MVVM, OOP, design patterns, unit testing, and WPF best practices. Collaborate effectively with Product Owners, QA, UX, architecture, and engineering stakeholders to define and deliver high-quality features Support planning, estimation, delivery tracking, risk management, and continuous improvement activities Contribute to desktop engineering modernization, platform evolution, and technical innovation initiatives. Contribute to predictable delivery, engineering efficiency, and operational excellence within Agile environments Drive responsible adoption of AI-assisted engineering practices across teams to improve productivity, quality, testing, documentation, onboarding, and delivery efficiency. Qualifications You Must Require Bachelor’s/master’s degree in computer science or related field, with 09 -14 years of experience. Proven experience in developing Windows desktop applications using C# and WPF. Strong knowledge of object-oriented-programming (OOP) principles and design patterns. Experience with MVVM architecture and data binding in WPF. Familiarity with Visual Studio, Git and Agile methodologie• Excellent problem-solving skills, analytical and communication skills. Ability to work independently and in a team-oriented environment. Experience with graphics programming like DirectX or OpenGL would be plus. Experience working in an agile environment (SCRUM, Kanban, etc) Working knowledge of development toolchain i.e. Visual Studio, Git, Jira, Bitbucket, etc. Ability to mentor engineers and drive team-level engineering maturity. Strong communication, stakeholder management, problem-solving, and decision-making capabilities across cross-functional engineering environments. Ability to drive AI adoption across teams by identifying high-impact use cases and enabling responsible usage. Understanding of Agentic AI design for developer assistance, MCP concepts, multi-agent system design patterns, and responsible AI practices within software engineering workflows.

Xoriant — AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Xoriant Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Xoriant and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Artificial Intelligence, .Net, WPF, C#, Development, MVVM) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Xoriant Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer ▼
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer ▼
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer ▼
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer ▼
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Xoriant as a C#.Net Developer with AI?
Preparation Tip: Highlight Xoriant's market reputation, recent tech innovations, and how your skills in Artificial Intelligence directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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