Software Engineer (AI Focused)

Summary: We are seeking a Mid-Level Software Engineer to join our team and contribute to the design, development, and deployment of modern, AI-driven applications. This role will work across a cloud-native AWS environment using a combination of Node.js and .NET Core, with a strong emphasis on integrating and operationalizing AI capabilities. You will collaborate with cross-functional teams to build scalable services, integrate AI models, and help drive innovation in how AI is applied across our products.

Responsibilities:

• Design, develop, and maintain scalable backend services using Node.js and .NET Core
• Build and operate cloud-native applications within AWS (e.g., Lambda, ECS/EKS, S3, API Gateway)
• Integrate AI/ML models into production systems, including APIs and data pipelines
• Participate in model evaluation, benchmarking, and performance analysis
• Contribute to fine-tuning and optimization of AI models for specific business use cases
• Collaborate with data scientists and AI engineers to productionize models
• Implement and maintain CI/CD pipelines and deployment workflows
• Ensure high standards of code quality, testing, and observability
• Troubleshoot, debug, and optimize system performance
• Contribute to architectural decisions and continuous improvement initiatives

Qualifications:

• 3–6 years of professional software engineering experience
• Strong development experience in Node.js (JavaScript/TypeScript) and .NET Core / C#
• Hands-on experience with AWS cloud services
• Experience building and consuming RESTful APIs and/or microservices
• Familiarity with containerization (Docker) and orchestration (Kubernetes or ECS)
• Solid understanding of software engineering principles, design patterns, and testing practices
• Practical experience working with AI/ML systems in production environments
• Understanding of model evaluation techniques and fine-tuning approaches
• Experience working with LLMs or modern AI frameworks (e.g., OpenAI, Hugging Face, LangChain, Semantic Kernel) is highly desirable
• Familiarity with vector databases, embeddings, or RAG architectures is a plus
• Strong problem-solving and analytical thinking
• Ability to work collaboratively in a cross-functional team
• Good communication skills, with the ability to explain technical concepts clearly
• Self-motivated with a willingness to learn and adapt in a rapidly evolving AI landscape

What We Offer:

• Opportunity to work on cutting-edge AI-driven products
• Collaborative and innovative engineering culture
• Flexible working arrangements
• Competitive salary and benefits package
• Career growth opportunities in a rapidly expanding domain