Machine Learning Engineer LLMs and Agentic
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
28 days ago
Vacancies:
1 Vacancy
Job Summary
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. LearnMore.
PositionOverview:
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).
- Anthropic Claude (Claude 2/3 for reasoning and safety-aligned workflows).
- GoogleGemini(multimodal reasoningadvancedRAGintegration).
- MetaLLaMA(fine-tuned/custommodelsfordomain-specifictasks).
Data& Infrastructure
- CollaboratewithDataEngineeringtobuildandmaintainreal-timeand batch data pipelines that serve ML/LLM workloads.
- Conductfeatureengineering preprocessing andembeddings generationfor structured and unstructured data.
- Implement model monitoring drift detection and retraining pipelines.
- LeveragecloudMLplatforms(AWSSagemakerDatabricksML)for experimentation and scaling.
Research&Applied Innovation
- ExploreandevaluateemergingLLM/SLMarchitecturesandagentorchestration patterns.
- ExperimentwithgenerativeAIandmultimodalmodelstoextendcapabilities beyond text (images structured financial data).
- CollaboratewithR&Dtoprototypeautonomousresolutionagentsanomaly detection models and reasoning engines.
- Translateresearchprototypesintoproduction-readycomponents.
Collaboration& Delivery
- Work cross-functionally with R&D Data Science Product and Engineering to deliver business-aligned AI features.
- Participateindesignreviewsarchitecturediscussionsandmodelevaluations.
- Document processes experiments and results effectively for knowledge sharing.
- MentorjuniorengineersandcontributetoMLengineeringbestpractices.
EducationExperienceandSkills
- Bachelors or Masters degree in Computer Science Data Science MachineLearningorrelated field.
- 3yearsofexperiencebuildinganddeployingMLsystems.
- Proficiency in Python and libraries such as PyTorch TensorFlow Scikit-Learn Hugging Face Transformers.
- Hands-onexperience withLLMs/SLMs (fine-tuning promptdesign inference optimization).
- Demonstratedexperiencewithatleasttwoofthefollowingecosystems:
- OpenAIGPTmodels(chatassistantsfine-tuning).
- AnthropicClaude(safety-firstAIforreasoningandsummarization).
- GoogleGemini(multimodalreasoningenterprise-scaleAPIs).
- MetaLLaMA(open-sourcefine-tunedmodels).
- Familiaritywithvectordatabases embeddings andRAGpipelines.
- Ability to work with structured and unstructured data at scale.
- KnowledgeofSQLanddistributeddataframeworks(SparkRay).
- StrongunderstandingofMLlifecycle:datapreptrainingevaluation deploymentmonitoring.
Preferred Qualifications
- Experiencewithagenticframeworks(LangChainLangGraphMCPAutoGen).
- KnowledgeofAIsafetyguardrailsandexplainabilitytechniques.
- Hands-onexperience deployingML/LLM solutions incloudenvironments (AWS GCP Azure).
- ExperiencewithCI/CDforML(MLOps)monitoringandobservability.
- Familiaritywithanomalydetectionfraud/riskmodelingorbehavioralanalytics.
- Contributions to open-source AI/ML projects or publications in applied ML research.
Required Experience:
Unclear Seniority
Key Skills
- CNC
- Computer Software
- Equity Research
- Investment
- ITI
About Company
From travel expenses to purchase cards and accounts payable, Oversight AI helps you identify patterns and root causes across every area of spend.
