Job Description: AI Engineer Company: AutoCash.ai
Technology
Employment Type: Full-time
ai 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 As an AI Engineer at AutoCash.ai, you'll design, build, and deploy the machine learning and AI systems that power our cash forecasting, anomaly detection, and decision-intelligence capabilities. You'll work closely with product, data, and treasury domain experts to turn financial data — from banks, ERPs, and payment systems — into real-time, trustworthy AI-driven insights for CFOs.
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
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
What We're Looking For Core Experience

- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Mathematics, Statistics, or a related field
- 2-5 years of experience building and deploying machine learning or AI systems, ideally in fintech, SaaS, or data-intensive domains
- Solid 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

Solid analytical mindset with the ability to connect model output to real financial/business outcomes
Excellent communication skills — able to explain model behavior and limitations to non-technical stakeholders (finance/treasury teams)

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
High-Growth Opportunity – Join an early-stage SaaS startup at a pivotal moment, with the chance to shape both the product and the company
based leadership team and advisors with deep experience in treasury, SaaS, and AI
Work directly with founders and shape the core AI product
Opportunity to build and scale AutoCash's India engineering hub from the ground up
Compensation & Benefits
Competitive salary and benefits package

📌 Tech / AI Specialist (Bengaluru)
🏢 Autocash.ai
📍 Bengaluru