Public listing
AI Engineer
- Work modeYes
- ListedPosted 7 hours ago
- SourceLinkedin
Role overview
About the role
Description supplied by the original job listing.
About us
UrvAIQ is building independent trust infrastructure for enterprise AI.
As autonomous AI agents increasingly interact with enterprise applications and execute business-critical workflows, organisations need reliable mechanisms to govern, control and verify their actions.
Through our flagship product, ActionProof, we are developing technology focused on AI-agent governance, execution control and independent verification.
We are looking for an AI Engineer to join our engineering team and contribute to building, improving and scaling our AI infrastructure platform.
Responsibilites
Design, develop and deploy AI-powered applications and agentic workflows.
Build and integrate LLM-based systems and autonomous AI agents.
Develop AI orchestration, execution and verification capabilities.
Work with APIs, backend services and enterprise system integrations.
Implement retrieval-augmented generation (RAG) and AI evaluation workflows.
Research and implement emerging AI technologies and frameworks.
Collaborate with the founding team on product architecture and engineering decisions.
Optimise AI systems for reliability, performance and scalability.
Requirements
Strong proficiency in Python.
Understanding of LLMs, machine learning and AI architectures.
Experience with LLM APIs and AI application development.
Familiarity with LangChain, LangGraph or similar frameworks.
Knowledge of REST APIs, databases and backend development.
Understanding of prompt engineering, RAG and AI evaluation.
Strong analytical and problem-solving abilities.
Preferred Qualifications
Experience building autonomous AI agents or multi-agent systems.
Familiarity with Docker and cloud infrastructure.
Knowledge of AI security, guardrails and governance.
Experience deploying production-grade AI applications.
Familiarity with vector databases and distributed systems.
What we offer
Opportunity to work on an innovative enterprise AI infrastructure product.
Direct collaboration with the founding team.
Ownership of meaningful engineering initiatives.
Exposure to emerging technologies in agentic AI and AI infrastructure.
Opportunity to contribute to a growing technology venture.
We are looking for engineers who enjoy solving challenging technical problems and building practical AI systems.
Join UrvAIQ and help shape the future of trusted enterprise AI.
Website: https://urvaiq.com
Skills
Python, REST API, Docker, Machine Learning, LLM, LangChain
Work arrangement
Yes
Skills from the listing
- Python
- REST API
- Docker
- Machine Learning
- LLM
- LangChain
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