Senior AI Engineer

We're not your average tech company! Rightcrowd is a global leader in keeping people safe and organizations secure. We build smart solutions that manage who's on-site, what access they have, and ensure everything is compliant. Think big names – Fortune 50 and ASX 10 companies rely on us to tackle their toughest security challenges. We're a passionate, global team with offices in places like Australia, the USA, Belgium, India, and the Philippines, and we're on a mission to make the world a safer place, one clever line of code at a time.

What We Offer

• Competitive salary and benefits.
• A collaborative, respectful, and high-accountability team culture.
• Opportunities for growth within a global finance team.
• Flexibility in a remote-friendly and dynamic work environment.

Key Responsibilities:

1. Agentic AI Development & Code Generation:

• Design, implement, and lead the development of an advanced agentic AI system that can interpret user stories and autonomously generate production-ready code
• Research and implement state-of-the-art techniques in LLM prompting, fine-tuning, and orchestration to achieve optimal code generation results
• Architect robust evaluation systems to test, validate, and improve AI-generated code
• Seamlessly integrate AI-generated code into existing CI/CD pipelines
• Collaborate with product and engineering teams to refine inputs and ensure alignment with
  development standards
  
  2. AI Recommendation Engine Architecture:

• Architect a high-performance, scalable recommendation engine for the RightCrowd SmartAccess platform
• Design and implement AI-driven feature extraction pipelines
• Develop hybrid recommendation algorithms leveraging both collaborative filtering and content-
  based approaches
• Engineer systems for real-time inference and continuous model improvement
• Ensure the architecture integrates seamlessly with existing product infrastructure
  
  3. Natural Language Reporting System Development:

• Lead the end-to-end development of an AI-powered reporting system that translates natural language queries to SQL
• Engineer robust NLP components to accurately understand and parse user requests
• Build a reliable translation layer between natural language and database queries
• Implement data retrieval, processing, and presentation mechanisms
• Design systems for generating insights and visualizations from retrieved data• Ensure appropriate data security and access controls
  
  4. Technical Leadership & Innovation:
  
  
• Provide architectural guidance across AI initiatives within the organization
• Design scalable, maintainable AI systems with consideration for cloud infrastructure and MLOps
  best practices
• Stay at the forefront of advancements in LLMs, agentic AI, and code generation technologies
• Mentor junior engineers and foster a culture of AI innovation
• Collaborate effectively with cross-functional teams
  
  Required Qualifications & Skills:

• Master's or Ph.D. in Computer Science, AI, or related field (or equivalent practical experience)
• 5+ years of experience building production-level AI systems with significant focus on LLMs and
  generative AI
• Demonstrated expertise in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging
  Face Transformers)
• Extensive experience with LLM orchestration frameworks (LangChain, LangGraph, or similar)
• Proven track record designing and implementing agentic AI systems
• Strong proficiency in prompt engineering, fine-tuning, and optimization of LLMs
• Expert-level SQL skills and experience with database systems
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services
• Solid understanding of software engineering principles and best practices
• Experience with MLOps and CI/CD pipelines for AI systems
  
  Preferred Qualifications:

• Experience developing systems that generate production-ready code
• Familiarity with retrieval-augmented generation (RAG) techniques
• Experience with vector databases (Pinecone, Weaviate, etc.)
• Knowledge of containerization technologies (Docker, Kubernetes)
• Experience with model optimization, quantization, and efficient inference
• Contributions to open-source AI projects or research publications
• Familiarity with physical security or identity access management domains
• Experience implementing AI systems with strong security and governance controls
  This position offers the opportunity to work at the forefront of AI engineering, developing systems that not only generate code but also function autonomously to deliver real business