AI-Native Engineer. Context Engineering & SDLC Intelligence

We are building an AI-native ecosystem that will power both our internal SDLC and the next generation of AI-driven solutions for our clients. Our R&D organization is developing context-aware AI agents, intelligent engineering tools, and graph-based knowledge systems that integrate directly into real development workflows.

Requirements

• Hands-on experience building RAG systems, vector search, or semantic pipelines.
• Familiarity with knowledge graphs (Neo4j, RDF, property graphs, graph DBs).
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, Llama, etc.).
• Understanding of embeddings, text processing, chunking strategies, and retrieval optimization.
• Experience building developer tooling, internal tools, plugins, or automation.
• Ability to design and prototype systems independently.

Benefits

• Competitive compensation and growth opportunities
• Full autonomy to prototype, test, and implement ideas
• Professional training and English/Spanish language classes
• Comprehensive medical insurance
• Mental health support
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more
• Flexible working hours
• Inclusive and supportive culture