Junior/mid-Level AI & Automation Engineer (2-3 Years Exp)

- Location: Remote (Vietnam - Weekday AEST Overlap Required)
- Engagement: 1 month full time trial at 80% of salary and then pathway to full-time conversion
- Compensation: VND 22 - 35 Mil / month (FTE rate prorated during trial; eligible for performance bonuses after 6 months upon full-time conversion)
- Company: DD Consulting [protected info]
Advanced Tier AWS Partner and Gen AI Competentency
Role Summary & Impact
Are you an experienced developer with 2-3 years of expertise looking to push the boundaries of Generative AI and cloud-native architecture? DD Consulting is seeking a Junior/Mid-Level AI & Automation Engineer. In this role, you will leverage advanced and innovative AI tools to build AI tools and systems, utilizing custom Python/JavaScript engineering to architect sophisticated automated workflows and modern software ecosystems for global clients.
What You'll Do
● AI Systems Engineering: Architect and develop advanced AI tools and systems, creating high-performance automated pipelines through robust backend engineering.
● Custom Scripting: Write clean Python and JavaScript/TypeScript code to handle API calls, data transformations, and custom backend logic.
● Data Preparation & APIs: Clean, format, and validate data streams in SQL, Excel, or vector stores to feed into LLM prompts.
● Cloud Infrastructure Support: Learn to set up and deploy basic AWS serverless infrastructure (S3, Lambda, API Gateway) under senior engineer guidance.
● Documentation & Testing: Maintain technical documentation, draft clear SOPs, and conduct basic software quality checks.
First 90 Days Milestones
● Month 1 (AWS Certifi cation Focus): Complete onboarding, study and achieve the AWS Certifi ed Cloud Practitioner certifi cation (fully sponsored focus), and build 2 live low-code AI automations.
● Month 2: Connect live LLM API endpoints (OpenAI, Claude, Bedrock) into business workfl ows using custom Python/JS code.
● Month 3: Complete end-to-end technical delivery of a client workfl ow; evaluate full-time conversion performance.