AI Engineer

Job Title: AI Engineer Company: Autocash.ai Job Category: Machine Learning Roles & Responsibilities: Job Description: AI Engineer Department: AutoCash.ai is building an AI-powered cash management platform for CFOs and finance teams. We're redefining how mid-market companies run their finance functions — connecting directly to banks, ERPs, and payment systems to deliver real-time insights, automation, and decision intelligence. The Role * Design, develop, and deploy ML/AI models for cash flow forecasting, transaction categorization, and financial anomaly detection * Build and maintain data pipelines that ingest and normalize data from banks, ERPs, and payment systems * Fine-tune and optimize models (including LLMs) for performance, latency, and cost in production * Build RAG pipelines and agentic workflows that help finance teams query and act on financial data conversationally * Integrate AI/ML models into the core platform via APIs and services * Monitor deployed models for drift, performance degradation, and reliability, given the high accuracy bar of financial data * Apply statistical methods to validate model performance, design experiments (A/B tests), and interpret forecasting accuracy * Implement MLOps best practices: CI/CD for models, versioning, testing, and monitoring * Partner with product and treasury domain experts to align model outputs with real CFO/finance-team workflows * Help shape and scale AutoCash's India engineering hub from the ground up Work Location: Bengaluru, Karnataka, India Availability: Full time

Core Experience * Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Mathematics, Statistics, or a related field * 0-2 years of experience building and deploying machine learning or AI systems, ideally in fintech, SaaS, or data-intensive domains * Strong programming skills in Python * Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX * Experience with LLMs, prompt engineering, RAG pipelines, or fine-tuning * Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) * Experience working with vector databases and embedding-based retrieval systems * Understanding of software engineering fundamentals: version control, testing, CI/CD Preferred Qualifications * Prior exposure to treasury, banking, or financial-data systems (TMS, ERPs, payment rails) * Experience with MLOps tools (MLflow, Kubeflow, Weights & Biases) * Experience building agentic systems or tool-using AI applications * Familiarity with time-series forecasting techniques and financial anomaly detection Compensation & Benefits * Competitive salary and benefits package * Work directly with the founders * High ownership role in an early-stage, high-growth environment Key Skills: Machine Learning, Python, TensorFlow, PyTorch Salary: Not disclosed