Senior Software Engineer - Reasoning Infrastructure

Senior Software Engineer - Reasoning Infrastructure

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:
As a Software Engineer in the Robotic Reasoning team, you will spearhead the development and
optimization of RAG pipelines and integrations for our AI-driven solutions, utilizing LLMs, RAGs and
other cutting-edge technologies in NLP and Machine Learning.

Responsibilities:
Design and implement robust RAG pipelines to ensure planning and memory capabilities for our
robots.
Integrate and maintain LLM based solutions, different types of DBs, and various types of sensorial
inputs within our systems.
Enhance data flow and system integrations within a modular architecture to support advanced data
processing and information retrieval
Build and maintain logging and monitoring subsystems.

Requirements:

• Advanced degree in Computer Science, Data Engineering, AI or related field.
  
• Extensive experience in RAG pipeline frameworks and orchestration tools (LlamaIndex, LangChain, Spark, Kafka, Airflow).
  
• Demonstrated ability with Python and various DBs (MongoDB, Pinecone, Elasticsearch, Pgvector, Neo4j).
  
• Strong background in LLM-as-a-service and Cloud Technologies (Open AI, AWS, Google Cloud, Azure).
  
• Experience with Machine Learning and Deep Learning technologies.
  
• Experience in Semantic Mapping and Simulation environments.
  
• Knowledge of ROS.
  
  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