Sr.Full-Stack Engineer

• At least 3 years
• The applicants should have experience in the following business area(s): IT Enabled Service, BPO/ Data Entry Firm

• Bachelor/Honors

• At least 3 years
• The applicants should have experience in the following business area(s): IT Enabled Service, BPO/ Data Entry Firm

• Age At least 18 years

Senior Full-Stack Engineer (C# / .NET Core) – AI/LLM Integration

We are seeking a highly skilled Senior Full-Stack Engineer to design, build, deploy, and scale enterprise-grade web applications and intelligent services. In this role, you will work across the full stack—leveraging modern .NET Core, React, TypeScript, and AWS—while actively collaborating with our dedicated Machine Learning and LLM Engineering teams.

You will bridge the gap between core enterprise software engineering and applied artificial intelligence, integrating production-grade LLM workflows, Retrieval-Augmented Generation (RAG) pipelines, and autonomous agent frameworks into scalable microservices. You will collaborate closely with Solution Architects, Technical Leads, Product Owners, MLOps/DevOps specialists, and security partners to deliver robust, high-performance, and secure solutions.

Key Responsibilities

• Full-Stack Feature Engineering: Design, build, and maintain scalable, end-to-end features spanning modern backend services (.NET Framework, ASP.NET Core, ASP.NET MVC) and responsive frontend applications (React, TypeScript).

• ML/LLM Team Collaboration & Pipeline Integration: Partner directly with ML/LLM researchers and engineers to productionize AI models, build resilient API contracts, establish shared schemas, and seamlessly consume model inference endpoints within microservices.

• AI & Agentic Systems Development: Build, integrate, and optimize LLM-powered features, agentic workflows, and RAG architectures into web platforms—ensuring low latency, context streaming, and graceful error fallbacks.

• Cloud & Microservices Architecture: Design, deploy, and operate secure, decoupled microservices in AWS environments utilizing Docker, ECS, AWS Lambda, SQS, API Gateway, and automated CI/CD tooling.

• Database Design & Performance Tuning: Design, normalize, and tune complex MySQL and MS SQL database schemas, stored procedures, and queries to ensure data consistency, high throughput, and performance.

• Engineering Ownership & Quality: Own features throughout the entire SDLC—from technical design and code reviews through automated unit/integration testing, deployment, and post-launch monitoring.

• Troubleshooting & Operational Excellence: Diagnose, profile, and resolve complex production bottlenecks, security alerts, and system issues across all tiers (UI, application layer, database, and asynchronous message queues).

  Required Qualifications & Experience

  • Education & Experience: Bachelor’s degree in Computer Science or a related technical discipline, with 5+ years of professional full-stack development experience

  • Backend Expertise: Proven mastery of C#, modern .NET (ASP.NET Core), and legacy .NET Framework architectures

  • Frontend Proficiency: Strong hands-on experience with modern React.js, JavaScript), TypeScript, HTML, CSS, JS, DevExpress, AgGrid.

  • AI/LLM Readiness & Collaboration: Demonstrated interest or hands-on experience integrating LLM APIs, vector stores, RAG patterns, or agentic frameworks, alongside a strong willingness to work in tight coordination with ML/Data Science teams.

  • Database & Query Optimization: Deep experience with MS SQL (T-SQL) and MySQL, including index tuning, stored procedures, execution plan analysis, and schema optimization.

  • API Architecture: Extensive background in building and consuming RESTful Web APIs.

  • Identity & Security: Solid understanding of enterprise authentication/authorization protocols and SSO implementations (OAuth2, OpenID Connect, SAML 2.0).

  • Cloud & Containers: Hands-on experience developing and hosting workloads on cloud infrastructure (AWS preferred, Azure, or GCP) using containerization (Docker, ECS/Kubernetes).

  Preferred Qualifications

  • Experience in document processing, OCR, or data-intensive enterprise platforms.

  • Knowledge of multi-tenant application architecture and caching strategies (like Redis).

  • Familiarity with message-driven and event-driven architectures using AWS SQS/SNS or RabbitMQ.

• Festival Bonus: 2