Role Mission We are looking for a senior AI Engineer to design and build production-grade AI solutions, including AI agents, scraping systems, and vector-based retrieval architectures.This role is hands-on and focused on shipping real AI systems, not research or experiments.You will work closely with backend and data teams to turn business problems into scalableAI-driven solutions.
Key Responsibilities
Design, develop, and deploy AI-powered systems, including:
AI agents for automation and decision workflows
Web scraping bots for structured and unstructured data collection
Systems using vector databases for semantic search and RAG pipelines
Build applications using Generative AI APIs (OpenAI, Anthropic, etc.)
Integrate AI components into existing platforms and services
Design and implement scalable, secure APIs for AI solutions
Optimize solutions for performance, reliability, and cost efficiency
Use frameworks such as LangChain, or similar to orchestrate intelligent workflows
Collaborate with backend and data engineers on pipelines, storage, and infrastructure
Stay current with AI advancements and proactively propose improvements or new use cases
Required Skills & Experience
Core Technical Skills
Strong programming experience in JavaScript/Node.js backend




Hands-on experience with Generative AI APIs (OpenAI, Anthropic, etc.)
Experience working with MongoDB
Experience building systems with vector databases and similarity search, includingPostgreSQL + pgvector, or dedicated solutions
Practical experience designing and implementing RAG pipelines
Experience building and automating web scraping bots
Solid understanding of cloud platforms (AWS preferred)
Experience building APIs and microservices
Familiarity with Docker and containerized deployments (Kubernetes is a plus)
AI / ML Knowledge
Strong understanding of embeddings, tokenization, and semantic search
Strong experience in prompt engineering
Experience applying pre-trained models for text generation, summarization, and search
Practical (not academic) understanding of LLM limitations, trade-offs, and costs
Problem-Solving & Communication
Ability to translate business requirements into AI-driven technical solutions
Strong analytical and problem-solving mindset
Comfortable collaborating with both technical and non-technical stakeholders
Passion for building useful, reliable AI systems in production
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📌 Ai Engineer (Buenos Aires)
🏢 Werben Hr
📍 Buenos Aires