תיאור המשרה
We are a well-funded, early-stage startup, seeking 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. Key Responsibilities: 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. Qualifications: 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.
על Reindeer
Reindeer is an AI platform that deploys and manages intelligent agents for complex, human-intensive workflows across the enterprise. We help teams move from “AI that answers” to AI that reliably executes work inside real business processes, with clear accountability and governance.
Reindeer is built for environments where accuracy, auditability, and repeatability matter: unstructured inputs, multi-step decisioning, handoffs across functions, and systems that can’t be ripped and replaced. Our agents operate within existing tools and workflows, extracting and structuring information, identifying gaps, routing for review when needed, and maintaining end-to-end visibility so teams can trust outcomes at scale.
To keep performance consistent over time, Reindeer uses human-in-the-loop training and workflow-grounded feedback loops to eliminate drift and hallucinations, and continuously improve reliability as edge cases appear. This approach enables enterprises to scale AI adoption safely, without turning every new use case into a bespoke project.
The result is faster cycle times, fewer manual touchpoints, and more consistent execution across teams while keeping humans in control where it matters most.
We've successfully automate workflows like payment approvals, quote management, and document processing for Fortune 100 companies.