Senior Machine Learning Engineer

We're looking for a Senior Machine Learning Engineer to join our AI team at ApprovalMax. You'll design and build agentic AI systems that automate complex approval workflows for finance teams across 17,000+ businesses. This is a high-impact role where your work directly shapes how companies handle millions of financial transactions.
What You'll Do

• Design, build, and deploy agentic systems using LangGraph and LangChain for workflow automation
• Develop and maintain ML models for anomaly detection, fraud prevention, and intelligent document processing
• Build evaluation frameworks and implement observability using LangFuse
• Deploy and scale ML services using Ray Serve or FastAPI + Redis + Celery
• Work with vector databases (pgvector) for RAG-based retrieval systems
• Collaborate closely with product and engineering to ship AI features with high accuracy requirements
• Contribute to architectural decisions for our growing AI infrastructure

What You Bring
Required:

• 4+ years of production ML experience
• Strong Python skills with strict typing practices
• Hands-on experience building LLM-powered applications (agents, RAG, prompt engineering)
• Experience with at least one agent framework (LangGraph, LangChain, or similar)
• Solid foundation in classical ML (classification, regression, anomaly detection)
• Experience deploying ML models to production (Ray Serve, FastAPI, or equivalent)
• Familiarity with async processing patterns (Celery, Redis, or similar)

Nice to Have:

• Experience with Azure cloud services (Azure OpenAI, Container Apps)
• Background in fintech or financial document processing
• Experience with ML observability tools (LangFuse, LangSmith, Weights & Biases)
• Knowledge of vector databases and embedding models
• Experience with evaluation frameworks for LLM applications

Tech Stack

• Languages: Python
• Agent Frameworks: LangGraph, LangChain
• Deployment: Ray Serve, FastAPI, Celery, Redis
• Observability: LangFuse
• Infrastructure: Azure (Container Apps, OpenAI Service)
• Data: PostgreSQL, pgvector

What we offer:

• Growing international business with 10,000+ subscribers
• Regular performance-based compensation reviews
• 26 days paid time off
• 1 additional day off for your Birthday
• Remote office assistance
• Service years recognition financial reward