AI/ML Engineer
AppZen (company site, opens in a new tab)1–3 yrsPuneOn-siteDirect career pageEst. 8–18 LPA
Posted 3h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and maintain LLM-powered and agentic features for processing invoices, expense reports, and card transactions in finance applications.
- Build retrieval-augmented generation (RAG) pipelines and implement API integrations for accurate financial decision-making and structured outputs.
- Ensure production readiness by packaging models with Docker, maintaining CI/CD pipelines, monitoring, and collaborating cross-functionally to translate requirements into technical solutions.
Minimum Requirements
- 1-3 years of professional experience building and deploying ML/AI solutions, including at least 1 year on LLM-based applications.
- Strong Python programming skills with experience in writing production-grade code and building REST APIs (FastAPI or Flask).
- Hands-on experience with LLM & agent frameworks such as LangChain, LangGraph, LlamaIndex and LLM APIs (OpenAI, Anthropic, Gemini) or open-source models.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
Ideal Candidate Profile
- Experience working in finance-focused AI applications, especially invoices, expense, or accounts payable data processing.
- Proficient in end-to-end ML development lifecycle including RAG pipelines, prompting techniques, and structured output generation with function calling.
- Skilled in production engineering practices including containerization, CI/CD, cloud deployment (AWS/GCP/Azure), and monitoring of ML models in production.