This is a senior-level, hands-on engineering role for a builder who will architect, develop, and own the AI-powered systems that underpin digital experiences. The successful candidate will be responsible for creating core knowledge graphs and advanced data pipelines that will connect disparate content and data sources. This is a unique opportunity to build a strategic asset building and refining a knowledge graph from source code and developing foundational language parsing capabilities.
Key Responsibilities: Architect and build foundational knowledge graphs to represent relationships between entities in content and data.Design and implement data pipelines to ingest, parse, and enrich structured and unstructured content (e.g., articles, metadata) into the knowledge graphDevelop and enhance the process of converting Abstract Syntax Trees (AST) from various programming languages into a NetworkX and Neo4j knowledge graph.Design and implement a hierarchical graph structure, ensuring that code entities are correctly scoped and linked.Refactor and maintain the language parsing engine using Tree-sitter, creating modular, language-specific parsers (Python, JavaScript, TypeScript, Java, C#).Creating, structuring and managing backend data entities (FastAPI, SQLAlchemy, Pydantic, etc.).Develop and implement Retrieval-Augmented Generation (RAG) applications, integrating various Large Language Models (LLMs) and vector databases to enhance contextual understanding and response generation.Develop frameworks to quantify the efficacy of agentic solutions and generated responses. Minimum Qualifications: Bachelor’s degree in computer science or software engineering with a thorough understanding of CS fundamentals and theory relevant to application developmentStrong proficiency in Python and solid experience with data pipelines and API development.Advanced skills with Tree-sitter or similar technologies for code parsing.Great understanding of programming logic, language syntax, paradigms across a range of languages.Experience in language parsing and interpreter construction.Analytical problem-solving skills for debugging data pipelines and graph issues.Knowledge of graph database systems, libraries and query languages.Demonstrated experience with various vector databases (e.g., Qdrant, Weaviate, Chroma) for efficient similarity search and information retrieval.Hands-on experience in developing agentic solutions and optimizing Retrieval-Augmented Generation (RAG). applications.Proficiency in SQL and experience with various database systems (relational and NoSQL).Strong knowledge of all tiers used in modern architecture (front-end, mid-tier, RESTful web services, messaging, data tier).Proficiency in the English language. What is it like working for 3Pillar Global? At 3Pillar, we offer a world of opportunity:Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.You will be part of a global team, learning from top talent around the world and across cultures, speaking English every day. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best. Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries. We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.Join us and be a part of a global tech community!Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!
