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
Skills Required
- 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)
- 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 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
What We Do
At Showpad, we believe that the best buyer experience wins. And this is why we built the most complete and flexible sales enablement platform that marketing and sales rely on to prepare sellers, engage buyers, and optimize performance with insights.
Why Work With Us
We're a high-growth SaaS company that's redefining sales enablement. We have aggressive goals for growth - both for the company & our employees - and know we can't do it alone. We're looking for good-natured, authentic ass-kickers to grow their careers with us.
Gallery
