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 development.Responsibilities:- 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 standards.Requirements:- 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 practices.Note:Given the urgency of the role, we are currently prioritizing candidates who can join immediately or within 2 weeks.