NET AI Software Engineer

Ai-driven

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Tech stack

.NET

API

Artificial Intelligence

Amazon Web Services (AWS)

C Sharp (Programming Language)

Software Quality

Databases

Web Scraping

Data Mining

Distributed Data Store

Distributed Systems

Fault Tolerance

Python

Microsoft SQL Server

MongoDB

NoSQL

Queueing Systems

SQL Databases

Data Processing

Real Time Systems

Large Language Models

Reliability of Systems

Technical Debt

Event Driven Architecture

Containerization

Kubernetes

Api Design

Amazon Web Services (AWS)

Docker

Microservices

Job description

Design, develop, and maintain scalable microservices and event-driven components using .NET / C#
Build and evolve distributed data processing pipelines with a focus on reliability, performance, and fault tolerance
Develop and maintain APIs and backend services for high-throughput, real-time systems
Integrate AI services and LLM-based capabilities into existing infrastructure, ensuring reliability, performance, and measurable business value
Design and optimize workflows involving AI-driven content extraction, transformation, and validation
Integrate with external providers, AWS infrastructure, and messaging systems
Ensure robustness of distributed workflows, including proper error handling, retries, idempotency, and observability
Make architectural decisions and contribute to long-term technical strategy
Review and improve code quality, performance, and maintainability while minimizing technical debt
Collaborate closely with product and leadership to align technical solutions with business objectives
Evaluate the effectiveness of AI-enhanced pipelines and continuously optimize scalability and operational stability
Document architectural decisions and technical trade-offs in a clear and structured manner

Requirements

5+ years of professional .NET / C# development experience
Strong microservices and event-driven architecture experience
Production experience with AWS services (S3, EC2, SQS or equivalent)
Solid experience with both SQL (SQL Server) and NoSQL (MongoDB) databases
API design and development experience
Strong command of async/await, threading, and resource management
Distributed systems awareness: error handling, retries, idempotency, message queues
A strong quality-oriented approach, with attention to edge cases, system reliability, and potential failure scenarios
A product-driven mindset, focused on delivering meaningful impact rather than simply completing tasks, and comfortable operating with a high degree of autonomy
The ability to evaluate and validate the effectiveness of implemented solutions, collaborating with product and leadership to ensure alignment with business objectives
Sound judgment in balancing independent decision-making with timely stakeholder alignment, supported by clear and structured documentation of architectural and technical choices.
Excellent communication: you ask good questions, listen carefully, and surface blockers early, * Experience integrating with LLMs or AI APIs, including prompt design and management
Background in web scraping, data extraction, or document processing pipelines
Experience with news aggregation, media data, or financial information services
Familiarity with Python or C# for data processing workflows
Experience with containerisation (Docker, Kubernetes)