AI Engineer

Actively Reviewing the Applications

Showpad

4–8 years

Posted 3 days ago • Apply by June 11, 2026

Job Description

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