AI Engineer at auxoai

Location: Bengaluru, Karnataka
Type: Full-time
Level: senior
Posted: Sep 28, 2026

Summary from listing

AuxoAI is hiring an AI Engineer to design and deploy production-grade AI agents and predictive machine learning solutions for enterprise workflows. The role involves architecting modular agent frameworks, deploying supervised and unsupervised models, building decision-making and tool-calling systems, creating structured memory and evaluation frameworks, and integrating AI systems with enterprise platforms. Candidates should have 3–10 years of production AI or machine learning experience, strong Python and ML engineering skills, and experience with agent frameworks, cloud AI platforms, enterprise data systems, and RAG architectures.

Required Skills

Machine learning
AI agents
Python
RAG architectures
Tool calling
MLOps

Additional Information

Required Previous Experiences: 3–10 years of experience building machine learning or AI systems in production environments
Hands-on experience training, evaluating, and deploying ML models with scikit-learn, XGBoost, or PyTorch, including feature engineering, cross-validation, and production monitoring
Experience building or extensively customising agent frameworks for real-world applications
Experience designing tool-use or function-calling architectures under practical system constraints
Experience with cloud-native AI platforms, preferably GCP Vertex AI and Gemini, including model deployment, endpoint management, and AI pipeline orchestration
Experience integrating AI solutions with enterprise data systems, including ERP APIs, data lakehouses, or industrial data sources
Understanding of RAG architectures, vector databases, and retrieval strategies, with the ability to extend them to agentic reasoning and action
Familiarity with real-time or streaming data processing patterns for inference on live operational data
Preferred Qualifications: Experience with reinforcement learning techniques such as policy gradients, value estimation, or reward modeling
Experience building multi-agent or collaborative agent systems
Experience designing evaluation frameworks for agent robustness and reliability
Experience optimising LLM inference pipelines for latency, throughput, and cost efficiency
Familiarity with MLOps practices including model versioning, drift monitoring, retraining pipelines, and model registries
Familiarity with distributed task orchestration systems and large-scale AI workflow management
Prior experience in semiconductor, manufacturing, or industrial AI environments
Translation Company Name: AuxoAI