Auxo AI - Senior AI Engineer

About The Role
AuxoAI is hiring a Senior AI Engineer to design and deploy production-grade AI agents capable of structured reasoning, planning, and decision-making. This role focuses on building intelligent agent systems and predictive ML solutions that power real-world enterprise workflows - going well beyond chatbot or RAG-style application Design and architect modular AI agent frameworks incorporating skill decomposition, tool orchestration, and persistent state tracking.
Build and deploy supervised and unsupervised ML models for prediction, classification, anomaly detection, and pattern recognition tasks in production environments.
Develop decision-making loops that balance trade-offs between exploration vs. exploitation, cost vs. accuracy, and latency vs. reasoning depth.
Build structured memory systems including episodic memory stores, semantic memory layers, and vector-based memory with optimised retrieval strategies.
Design tool-calling architectures with strong execution validation, retry mechanisms, and failure recovery strategies.
Develop evaluation frameworks to measure agent and model performance using task success metrics, rollout simulations, model accuracy benchmarks, and multi-sample validation approaches.
Integrate AI agents and ML models with enterprise systems.
Deliver production-ready AI systems that meet operational requirements around reliability, cost efficiency, throughput, observability, and enterprise security 3 - 8 years of experience building machine learning or AI systems in production environments.
Hands-on experience training, evaluating, and deploying ML models using frameworks such as scikit-learn, XGBoost, or PyTorch.
Strong experience building or extensively customising agent frameworks for real-world applications.
Hands-on experience designing tool-use or function-calling architectures under practical system constraints.
Experience working with cloud-native AI platforms, preferably GCP Vertex AI and Gemini.
Experience integrating AI solutions with enterprise data systems - ERP APIs, data lakehouses (Databricks), or industrial data sources.
Strong understanding of RAG architectures, vector databases, and retrieval strategies.
Strong Python engineering skills with a focus on scalable, reliable, and maintainable system design.
Experience working with cloud-native infrastructure, APIs, containers, and distributed systems.
Experience with production-grade logging, monitoring, metrics, alerting, and distributed system debugging.
Nice To Have
Experience with Amazon Bedrock, SageMaker, Azure AI Foundry, or equivalent cloud AI services.
Experience with LangSmith, Langfuse, Grafana, Prometheus, or equivalent AI/LLM observability platforms.
Experience with Kubernetes, Docker, Terraform, Helm, or other container orchestration technologies.
Experience with reinforcement learning techniques, multi-agent systems, and MLOps the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2 weeks.
(ref:hirist.tech)

Work arrangement
No