What You’ll Be Doing - Design and prototype agent workflows using LangChain and/or similar frameworks. - Develop task automation agents focused on marketing workflows (e. g. , campaign execution, reporting, content validation). - Build basic RAG pipelines and ReAct agents to improve agent response relevance and accuracy. - Benchmark and test LLMs for speed, cost, and fitness to the use case. - Work closely with the Hiring Manager To iterate on use cases and validate the POC. Possible Extensions (Post-POC / Platform Build) - Scale agent orchestration using LangGraph, AutoGen, or CrewAI. - Containerize workflows and prepare deployment pipelines. - Integrate monitoring and observability layers for agent evaluation. What You Need to Succeed Must-haves - 3+ years of experience in software engineering or machine learning, with at least 1 year of hands-on experience building LLM-based workflows or autonomous agents. - Proven ability to design, prototype, and iterate on solutions using LangChain or similar frameworks. - Strong understanding of prompt engineering, tool-use chaining, and agent orchestration patterns (e. g. , ReAct, Tool-Calling). - Practical experience working with vector databases such as Pinecone, FAISS, or Weaviate, and building Retrieval-Augmented Generation (RAG) pipelines.



- Proficiency in Python and relevant ML libraries (e. g.

, Transformers, PyTorch, LangChain). - Familiarity with Docker and experience deploying ML workloads in cloud environments (AWS, GCP, or Azure). - Ability to work independently, communicate effectively with non-technical stakeholders, and iterate rapidly in a PoC-driven environment. Nice-to-haves - Experience with multi-agent frameworks like LangGraph, AutoGen, or CrewAI. - Previous work on agentic systems applied to marketing automation or related use cases. - Knowledge of CI/CD practices, container orchestration, and performance monitoring for ML pipelines. - Awareness of AI ethics, security, and compliance in production-grade applications. - Demonstrated contributions to open-source projects, published research, or developer communities in the AI/LLM space. Benefits - Fully remote work arrangement as a contractor. - Competitive salary in USD. - 10 paid time off (PTO) days per year. - 100% company-covered international certifications. - Access to coworking spaces. - English classes. - Engaging team-building activities. - Personalized gifts. - Welcome kit. - Referral programs.

📌 AI Engineer (Colombia)
🏢 Pearster
📍 Colombia