Machine Learning Engineer LLMs and Agentic

About Oversight

Oversight is the worlds leading provider ofAI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta GA Oversight works withmanyoftheworldsmostinnovativecompaniesandgovernmentagenciesto digitally transform their spend audit and financial control processes.

Oversights AI-powered platform works across our customers financial systems to continuously monitor and analyze all spend transactions for fraud waste and misuse. With a consolidated consistent view of risk across their enterprise customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview :

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs) generative AI and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning modern deep learning frameworks and data pipelines coupled with hands-on experience experimenting with LLMs small language models (SLMs) multi-agent frameworks and retrieval-augmented generation (RAG).

You will work closely with AI / ML researchers data engineers and product teams to design implement and optimize models that power autonomous exception resolution anomaly detection and explainable insights. This is a hands-on engineeringrolewhereyouwillnotonlybuildandscaleMLsystemsbutalsoactively contribute to cutting-edge applied research in agentic AI.

CoreML / LLM Engineering

• Contribute to the design training fine-tuning and deployment of ML / LLM models for production.
• ImplementRAGpipelinesusingvectordatabases.
• Work with frameworks like LangChain LangGraph MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineering optimization and safety techniques for agentic LLM interactions.
• Integrate memory evidence packs and explainabilitymodules into agentic pipelines.
• Workhands-onwithmultipleLLMecosystems :

OpenAIGPTmodels(GPT-4 GPT-4ofine-tuned GPTs).

Data& Infrastructure

Research&Applied Innovation

Collaboration& Delivery

Education Experience and Skills

OpenAIGPTmodels(chatassistantsfine-tuning).

Preferred Qualifications

Required Experience :

Unclear Seniority

Key Skills

CNC,Computer Software,Equity Research,Investment,ITI

Employment Type : Full-Time

Experience : years

Vacancy : 1