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Jr Agentic AI Engineer
Latin America
About CodeRoad
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
About the Role
We’re looking for a Junior Agentic AI Engineer to co-build next-generation AI systems powered by RAG and agent-based architectures. You’ll work hands-on designing intelligent workflows, connecting LLMs with real data, and contributing to production-ready AI tools.
This is not a “prompting-only” role — you’ll be coding, integrating, testing, and learning fast in a real-world AI environment.
Key Responsibilities
- Co-develop RAG pipelines and agentic workflows for real business use cases
- Implement vector search, chunking strategies, and prompt orchestration
- Integrate LLMs with APIs, databases, and external systems
- Contribute to model deployment, monitoring, and evaluation pipelines
- Write clean, maintainable code and support testing (unit & integration)
- Collaborate with senior engineers on system design and improvements
Requirements
- 1–3 years of experience with Python and backend development
- Hands-on exposure to LLM-based applications or AI tooling
- Experience with: LangChain / LangGraph, FastAPI and REST APIs, SQL databases
- Understanding of: RAG concepts and vector databases, Prompt engineering basics (ReAct, guardrails)
- Familiarity with Docker and modern dev workflows
- Strong problem-solving mindset and willingness to learn fast
- Advanced English for working with US teams
Nice to Have
- Experience with MLFlow or evaluation frameworks
- Exposure to embeddings (dense/sparse) and NLP preprocessing
- Azure ecosystem (Blob Storage, Container Apps)
- Memory frameworks for agentic systems
What You’ll Love
- 100% Remote
- Holidays off
- Paid Time Off
- Health insurance assistance program
- Competitive USD compensation
- Strong team culture and collaborative environment
- Ongoing training and growth opportunities
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