Proactive Global
Senior Software Engineer – AI/ML KnowledgeBase
The Mission
Proactive Global have partnered with an exciting AI business who are striving to create the world’s
leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into
daily life and amplify human capacity.
Vision
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new
outlook where, together, humans and machines build a new future filled with knowledge,
inspiration, and incredible discoveries. The development of a functional humanoid robot underpins
an era of abundance and well-being where poverty will disappear, and people will be able to choose
what they want to do. We believe that providing a universal basic income will eventually be a true
evolution of our civilization.
Solution
As the demands on our built environment rise, labour shortages loom. With the world’s workforce
increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics
industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid
robots in environments deemed hazardous or monotonous, we envision a future where human wellbeing
is safeguarded while closing the gaps in critical global labour needs.
Position Overview:
We are seeking a Sr. Software Engineer specialized in AI/ML and KnowledgeBase systems, with a
robust understanding of Retrieval-Augmented Generation and LLMs to join our Robotic Reasoning
team. This role focuses on developing and maintaining our advanced knowledge management
systems that support enhanced reasoning capabilities for our robots.
Responsibilities:
Research various approaches and develop knowledge base and memory systems for robots by
implementing the latest papers and using cutting-edge technologies.
Design and maintain scalable systems for managing knowledge in Graph DB, Vector DB, NoSQL DB,
and classic DBs.
Work on solving challenges related to information storage and retrieval.
Contribute to system architecture, ensuring the use of cloud infrastructure for comprehensive
logging and monitoring of developed systems.
Requirements:
Master’s degree or higher in Computer Science, AI, or a related field.
Strong experience with RAG, LLM technologies, and their applications in Knowledge Bases.
Experience with python, DBs, Semantic Search and Information Retrieval techniques.
Familiarity with Transformers, RDF, LangChain, FAISS, Neo4J, VirtualHome, pgvector or similar
technologies
Optional but highly valuable: Experience with Semantic Mapping and Simulation tools.
Preferred Qualifications:
Proficiency in ROS and Semantic Reasoning.
Solid track record of AI related publications.
Passion for continuous learning in AI technologies and their applications.
Proactive Global is committed to equality in the workplace and is an equal opportunity employer.
Proactive Global is acting as an Employment Business in relation to this vacancy.