Senior Applied AI Engineer
Build production AI applications, agentic workflows, backend services, and enterprise integrations for Finance. The role requires 5+ years of production software engineering experience, strong Python and backend fundamentals, and experience with scalable, secure distributed systems.
About the job
What You’ll Own
AI Applications & Agentic Systems
- Design and build AI-powered applications, internal copilots, and agentic workflows for Finance, Accounting, Procurement, FP&A, Payroll, Tax, Treasury, and Investor Relations.
- Build AI systems using LLMs, RAG, function calling, and AI agents to automate complex business workflows and augment human decision-making.
- Develop intelligent assistants capable of reasoning over enterprise data, executing multi-step tasks, and orchestrating business processes.
- Identify high-impact opportunities where AI can improve productivity, accuracy, and operational efficiency.
Backend Engineering & Enterprise Integrations
- Build scalable backend services, APIs, and microservices that power AI applications.
- Integrate AI solutions with enterprise platforms including NetSuite, SugarCRM, DealHub, HubSpot, Tipalti, Navan, Carta, and other internal systems.
- Design reliable event-driven architectures and automated pipelines that keep AI applications synchronized with trusted enterprise data.
- Build production-ready systems that are scalable, secure, observable, and maintainable.
AI Analytics & Decision Support
- Build AI-powered dashboards, reporting applications, and conversational interfaces that enable Finance teams to interact with business data naturally.
- Deliver financial Q&A, variance analysis, anomaly detection, forecasting support, and executive insights.
- Transform financial intelligence into AI experiences that help business users make better decisions faster.
Platform & Governance
- Design secure, governed AI platforms with robust access control, monitoring, and data quality.
- Ensure AI applications operate on trusted, continuously refreshed enterprise data.
- Build enterprise-grade solutions that support auditability, compliance, and long-term public company readiness.
Requirements
- 5+ years of experience building production software as a Senior Software Engineer, Backend Engineer, Full-stack Engineer, or Applied AI Engineer.
- Strong software engineering fundamentals with Python and modern backend frameworks.
- Experience building scalable APIs, distributed systems, cloud-native applications, and enterprise integrations.
- Experience designing production systems with high reliability, security, and performance.
Skills
Python, Backend Frameworks, LLMs, RAG, Function Calling, AI Agents, APIs, Microservices, Distributed Systems, Cloud-Native Applications, Enterprise Integrations, Event-Driven Architecture, Access Control, Monitoring, Data Quality
Similar jobs
ML Engineering jobs
OPSWAT
Ho Chi Minh City, Vietnam
Leads production deployment and optimization of large language models on GPU hardware, focusing on quantization, inference engines, serving infrastructure, and performance benchmarking. Requires a bachelor's degree and 5+ years of software engineering experience in ML infrastructure, LLM inference, or model optimization.
Payabli
Remote
Sets the technical direction for production machine learning across a payments platform, building and scaling models for risk, authorization, disputes, and forecasting. Requires 8+ years of ML engineering experience, including production model ownership and strong technical leadership.
Protege
Remote
Build the technical foundation for a new business vertical, creating reusable infrastructure and leading early customer engagements from scoping through delivery. The role requires 3+ years of engineering experience, strong Python and SQL skills, backend/data expertise, and comfort operating in ambiguity.
OPSWAT
Ho Chi Minh City, Vietnam
Build and integrate AI/LLM capabilities for a customer and partner portal, including RAG, agents, retrieval systems, and evaluation pipelines. The role requires 3+ years of AI/ML engineering experience, strong Python skills, and production experience serving and evaluating LLMs.
OPSWAT
Ho Chi Minh City, Vietnam
Build and ship locally hosted language-model capabilities for a cybersecurity product, owning training data, fine-tuning, evaluation, security, and constrained-hardware inference. The role requires strong Python, LLM serving and grounding experience, with Rust and cybersecurity knowledge valued.