AI Implementation Engineer
Apply for this job
These roles are hiring now
View all similar roles →AI Process Forward Deployed Engineer
- Own end-to-end AI process automation deployments in enterprise environments
- Proven production experience with AI technologies and distributed systems
- Java, React, BPMN workflows, AI agents, distributed systems
Generative AI Designer
- Create photorealistic visuals using AI tools with manual retouching
- Experience with AI image/video generation platforms required
- Photoshop, prompt engineering, lighting, composition, visual realism
Senior Integration & API Developer – AWS, Python and AI Agents
- Design and build scalable APIs, system integrations, and AI-powered solutions
- 5+ years professional software development experience
- Python, AWS (API Gateway, Lambda, ECS), LLMs, AI agents, REST APIs
Copilot & Power Platform Consultant
- AI/ML in low-code platforms, Copilot Studio, Power Platform delivery
- Experience with AI models and business analysis required
- Copilot Studio, PowerApps, Power Virtual Agents, D365, Dataverse
AI Implementation Engineer (Customer facing role)
Commercial - Australia (Remote)
AI Implementation Engineer / Customer Success
Location: (Remote/Hybrid) - Must be located within one of these countries:
Australia, India, Japan, Malaysia, New Zealand, Philippines, Thailand, or Vietnam. Only individuals from these locations can be considered for the role. We do not offer visa support or relocation.
About Trustana
Trustana is building AI-powered software that helps retailers, distributors, and brand owners manage and enrich product data at scale.
We are looking for an AI Implementation Engineer to help customers successfully deploy our AI solutions. If you enjoy solving technical problems, working with AI, and improving customer workflows, we'd love to hear from you.
Key Responsibilities
- Configure AI agents, prompts, and workflows for customer accounts.
- Translate customer requirements into scalable AI solutions.
- Troubleshoot AI outputs, identify root causes, and improve results.
- Validate data quality and create simple test cases for new workflows.
- Work closely with Product, Engineering, and Customer Success to deliver successful implementations.
Qualifications
- 3+ years in Solutions Engineering, Implementation, Technical Consulting, Product, or a similar B2B SaaS role.
- Strong understanding of data structures, mappings, imports, and APIs.
- Experience using LLMs, AI agents, or prompt engineering in a practical setting.
- Comfortable troubleshooting technical issues using logs, SQL, Python, or similar tools.
- Strong analytical skills with a structured approach to problem solving.
- Excellent communication skills and comfortable working directly with customers.
Nice to Have
- Experience with PIM, ERP, eCommerce, or product data platforms.
- Experience with AI coding assistants or workflow automation tools.
- Startup experience.
Why Join Us?
- Build practical AI solutions used by enterprise customers.
- Work with cutting-edge AI technologies in a fast-growing startup.
- Collaborate with an experienced, international team.
- Competitive compensation and opportunities for growth.