Gen AI Software Engineer
Location: Argentina, Chile, Peru, Brazil, Colombia, Mexico
Department: Workana Premium
Workplace: remote
Employment Type: full
Description
We are seeking a GenAI / Applied AI Software Engineer to join one of our client's team and contribute to ongoing AI and automation initiatives within contact center and BPO environments.
This role is ideal for a hands-on engineer who enjoys building real-world AI solutions in production — not just prototypes. You will work on voice AI, automation pipelines, data processing, and AI-powered customer experience solutions in a multi-cloud environment.
You’ll collaborate with a small, senior team while being trusted to operate autonomously and ship practical solutions.
What You’ll Work On
- AI-powered voice agents and conversational AI
- Sentiment analysis and conversation intelligence
- Backend automation and workflow orchestration
- AI-assisted redaction of sensitive data (e.g., credit cards)
- Data pipelines feeding AI systems
- Integration of AI tools into existing enterprise systems
Requirements
- Design and implement applied AI solutions in production environments
- Integrate LLMs, AI services, and automation tools into business workflows
- Collaborate on system architecture across multi-cloud environments (AWS/Azure)
- Build scalable, secure, and compliant solutions
- Evaluate and integrate new AI tools pragmatically and cost-effectively
- Contribute code directly and participate in technical decision-making
Requirements
- 5+ years backend/software engineering experience (Python preferred)
- Proven experience implementing AI solutions in real business contexts
- Experience with APIs and system integrations (FastAPI or similar)
- Familiarity with cloud environments (AWS and/or Azure)
- Understanding of data privacy and security best practices
- Ability to work independently with minimal onboarding
- Strong problem-solving mindset and pragmatic thinking
- Experience in contact centers, BPO, or CX tech
- Familiarity with workflow tools (Power Automate, Logic Apps, n8n)
- Familiarity with LLM-based applications and concepts like Retrieval-Augmented Generation (RAG)
Nice-to-have
- Experience with Amazon Connect or voice AI systems
- Exposure to compliance frameworks (SOC, PCI)
- C# experience
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