AI Engineer

Reindeer AI

Tel Aviv-Yafo, Tel Aviv District, IsraelHybridFull-timeNo compensation foundPosted 1y agoVerified open 6 days ago

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At a glance

Compensation

No compensation found

Location

Tel Aviv-Yafo, Tel Aviv District, IsraelHybrid

Schedule

Full-time

Work Authorization

Not specified

Job overview

Reindeer AI is hiring an AI Engineer. Reindeer AI is seeking a talented and motivated AI Engineer to develop advanced AI agents for automating and optimizing low-skill human tasks. This role focuses on document processing, data extraction, text and email comprehension, and related workflows. The engineer will research, design, and deploy AI solutions to replace repetitive manual tasks, improving efficiency and scalability for organizations.

Key focus areas include Design, develop, and implement AI agents using LLMs to automate document processing tasks., Build machine learning pipelines to automate content-heavy processes for enterprise businesses., and Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process documents..

Successful candidates bring 5+ Years Experience, 2+ Years Experience, and AI Agent Development Background. Important skills include Python, TensorFlow, PyTorch, LLM Architectures, NLP Applications, and Entity Recognition. Preferred (not required): AI Agent Development, Workflow Automation, Model Optimization, and Collaboration.

Skills & qualifications

RequiredNice to have

Skills

PythonTensorFlowPyTorchLLM ArchitecturesNLP ApplicationsEntity RecognitionDocument ClassificationSummarizationModel Grounding TechniquesRetrieval-Augmented Generation (RAG)Deploying Robust AI Models in ProductionDesigning AI Models Through APIsDockerKubernetesAWSGCPAzureContinuous MonitoringEvaluation of Deployed ModelsIterative Improvement of Deployed ModelsAI Agent DevelopmentWorkflow AutomationModel OptimizationCollaborationEvaluation & Testing

Qualifications

5+ Years of Experience as a Software Engineer or Data Scientist Building Production Systems2+ Years of Experience With Large Language Models and NLP TechniquesBackground in Developing AI Agents for Content Heavy TasksExperience With Multiple LLM VendorsExperience With RAG or Fine Tuning OSS or Commercial Models

Full job description

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.

We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.

We are a well-funded, early-stage startup, looking for a talented and motivated AI Engineer to join our team. The focus of this role is to develop advanced AI agents aimed at automating and optimizing low-skill human tasks, with a special emphasis on document processing, data extraction, text and email comprehension, and related workflows. You will be responsible for researching, designing, and deploying AI solutions that can replace repetitive manual tasks, improving efficiency and scalability for organizations.

Your Impact AI Agent Development

Design, develop, and implement AI agents using best of breed LLMs to automate document processing tasks across enterprise workflows.

Workflow Automation

Build machine learning pipelines to automate content-heavy processes for enterprise businesses.

Model Optimization

Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy.

Collaboration

Partner with product, engineering, and business teams to identify high-value automation opportunities and integrate AI-driven solutions into our operations.

Evaluation & Testing

Develop metrics and conduct extensive testing to ensure reliability and efficiency of the AI systems in real-world scenarios.

What It Takes Experience

5+ years of experience as a software engineer or data scientist building production systems.
2+ years of experience with large language models and NLP techniques.
Background in developing AI agents for content heavy tasks.
Experience with multiple LLM Vendors, RAG or Fine Tuning OSS or Commercial models.

Technical Skills

Proficiency in Python and machine learning libraries such as TensorFlow or PyTorch.
Deep understanding of LLM architectures and NLP applications like entity recognition, document classification, and summarization.
Experience with model grounding techniques, retrieval-augmented generation (RAG), and deploying robust AI models in production environments.
Skills in designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure).
Understanding of best practices for continuous monitoring, evaluation, and iterative improvement of deployed models.

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