Senior Software Engineer, AI/ML Platform

Hi there, I'm Raùl, Director of Data at TestGorilla. We’re excited to share more about the Senior Software Engineer, AI/ML Platform role and our team.

About TestGorilla

Imagine a world where everyone lands their dream job. TestGorilla is revolutionizing the hiring process through skills-based hiring, empowering one billion people to do just that. Our platform provides scientifically validated tests, enabling companies to hire faster and without bias, based on true skills and potential. We also empower candidates to showcase their abilities and find ideal roles.

At TestGorilla, we stand for diversity, act with integrity, and put talent first. We celebrate individuality and creativity and believe in a workplace where you can make a big impact. Our team works in a flexible, autonomous environment with a focus on well-being and results.

Join us in creating a future where skills matter most, and everyone has the chance to land their dream job.

About the role

We are looking for a versatile senior engineer blending software engineering, data engineering and modern AI/ML development skills. You'll build and operate the critical systems underpinning our AI/ML/data infrastructure, focusing on practical, scalable solutions.

Your core tasks involve creating core data infrastructure, integrating and deploying AI models, especially leveraging APIs and LLMs. This requires hands-on work with cloud platforms, containerization, and infrastructure automation tools. It also includes close collaboration with the Backend and DevSecOps teams.

Your impact will be direct: enabling new AI-powered features, collaborating across technical boundaries to effectively merge data, software, and AI using modern engineering practices.

This position has a very wide impact in the organization, is very visible, and is expected to deliver impactful solutions with minimal supervision.

Responsibilities

• Integrating and operationalizing AI/ML models (esp. via APIs and LLMs)
• Building & maintaining robust data pipelines (ETL/ELT)
• Developing and deploying scalable services & APIs, incl. containerization
• Managing cloud infrastructure using Infrastructure-as-Code (IaC)
• Managing diverse data storage solutions (warehouses, databases)
• Implementing reporting (dashboards as-code in Holistics), system monitoring, logging, and alerting
• Automating build, test, and deployment workflows (CI/CD)
• Troubleshooting issues across data, application, and infrastructure layers
• Collaborating closely across all engineering and product teams

What you’ll bring

We're looking for someone who:

• Experience deploying or integrating AI/ML models/services (e.g., using APIs, understanding MLOps fundamentals)
• Strong programming skills, with a preference for Python with demonstrated experience developing and deploying scalable backend services and APIs
• Proven experience building, deploying, and maintaining data pipelines (ETL/ELT)
• Has Hands-on experience with at least one major cloud provider (AWS, GCP, Azure)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with Infrastructure as Code principles and tools (e.g., Terraform)
• Solid understanding of various database technologies (SQL, NoSQL)
• Has experience in implementing and utilising CI/CD practices and tools
• Is a strong stakeholder management and communication skills, with the ability to organize cross-functional requests and explain complex ideas in plain English
• Is proactive and collaborative, takes initiative and delivers results with minimal supervision
• Has eagerness to learn new technologies and adaptable to changing requirements in a fast-moving AI environment

We actively seek diversity and encourage applications from everyone. If you're interested in this role but your experience doesn't perfectly match the description, please still apply. Studies show that women and underrepresented groups can be hesitant to apply unless they meet every requirement. If this role excites you and you're confident you can do the job, we encourage you to apply!

Bonus skills

While these skills aren’t a requirement, we’d be very interested to hear from you if you have;

• Familiarity interacting with APIs from major AI service providers (e.g., OpenAI, Anthropic, Google Vertex AI, AWS SageMaker endpoints, Hugging Face Inference Endpoints)
• Understanding of concepts related to deploying and managing Large Language Model (LLM) based applications (e.g., prompt engineeri