Offer summary

Qualifications:

Proficiency in Python is essential., Strong understanding of Prompt Engineering principles is required., Hands-on experience with LangChain and/or LlamaIndex is necessary., Demonstrated experience with agentic frameworks like CrewAI or AutoGen is preferred..

Key responsibilities:

Develop and refine prompt engineering strategies for LLM outputs.

Build intelligent, scalable workflows using agentic frameworks.

Design and implement multi-agent systems for collaboration and reasoning.

Integrate and manage various tools such as file managers and databases.

Job description

Job Title: GenAI Engineer

Location: LATAM (remote)

About the Role

We are looking for a passionate and innovative GenAI Engineer who thrives at the cutting edge of artificial intelligence. In this role, you will be responsible for designing and building a new GenAI system from scratch in the AWS cloud. You will leverage agentic frameworks, LLM orchestration, and advanced tooling to develop intelligent, scalable workflows that go far beyond basic chatbots. Your focus will be on multi-agent coordination, memory optimization, and contextual reasoning. If you are excited about turning LLMs into robust, production-grade systems, we want to hear from you.

Key Responsibilities

Develop and refine prompt engineering strategies to optimize LLM outputs for complex tasks.
Build intelligent, scalable workflows using agentic frameworks.
Design and implement multi-agent systems capable of collaboration, reasoning, and tool usage.
Integrate and manage various tools such as file managers, web search modules, and relational/NoSQL databases.
Experiment with different memory types to enhance agent recall and context management.
Work with Anthropic Claude and AWS-based GenAI infrastructure as needed.

Main Stack

Must-Have Qualifications:
- Proficiency in Python.
- Strong understanding of Prompt Engineering principles.
- Hands-on experience with LangChain and/or LlamaIndex.
- Demonstrated experience with agentic frameworks (e.g., CrewAI, AutoGen, LangGraph).
Preferred Experience (not mandatory):
- Familiarity with Anthropic Claude or similar non-OpenAI LLMs.
- Understanding of multi-agent collaboration patterns and orchestration.
- Experience working with memory types in agentic workflows.
- Comfort with integrating agent tools such as:
  - File systems
  - Web search interfaces
  - Relational/NoSQL databases
Nice to Have:
- Familiarity with Model Context Protocol (MCP).
- Hands-on experience with:
  - AWS Bedrock
  - AWS Bedrock Agents
  - AWS Knowledge Base

Why Join Us?

We offer a supportive and rewarding work environment with a range of benefits designed to help you thrive:

Full-Time Position: Stability and growth in a dedicated role.
Competitive Compensation: Get paid in US dollars, ensuring a strong and stable income.
100% Remote Work: Enjoy the flexibility of working from anywhere in Latin America.
Paid Time Off: Receive 12 PTO days per year to recharge and unwind.
Local Holidays: Celebrate your country's holidays with paid time off.
Birthday Off: Take your special day off, on us!
Career Growth: Access clear career paths and opportunities for advancement.
Recognition Program: Be celebrated for your achievements and contributions.
Paid Leaves: Enjoy peace of mind with fully paid leaves.

If you meet these requirements and are interested in applying for this position, please let us know. We look forward to the possibility of working with you.

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