דרושים » AI » Artificial Intelligence Engineering Lead בחברת סטארט-אפ

We are seeking a highly motivated and experienced LLM/ML Agentic AI Researcher to lead the technical development of our agentic AI interpretation framework. This hands-on role involves designing, building, and optimizing AI agents that interpret complex biological data and generate coherent, insightful narratives explaining therapeutic mechanisms.

You will be at the forefront of developing a sophisticated scientific reasoning system that leverages Large Language Models (LLMs) to provide structured, biologically-grounded explanations. Collaborating closely with immunologists, machine learning researchers, and technical leadership, you'll shape how we derive insights at a systems level, pushing the boundaries of AI in biology.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architect & Develop: Design, implement, and iterate on core AI agents using LLMs and Chain-of-Thought reasoning for creating a scientific reasoning system.
Integrate Biological Knowledge: Effectively access and incorporate biological databases (internal and external databases as tools) ensuring model interpretations are rooted in real biological mechanisms.
Solve Complex NLP Challenges: Innovate solutions to synthesize multiple information sources into cohesive, scientifically robust narratives. Structure advanced prompts and refine LLM interactions to achieve narrative coherence and clarity.
Robustness & Testing: Produce clean, well-documented, maintainable Python code with clear testing protocols, ensuring reliability and accuracy of the agent outputs.
Stay Ahead of Trends: Continuously explore emerging LLM technologies, APIs, and best practices to enhance our interpretation framework.
Effective Collaboration & Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders, effectively integrate feedback from immunologists and researchers, and iterate rapidly to refine the interpretation framework.

Were looking for a hands-on, product-minded AI professional to help us tackle real-world cybersecurity challenges using existing LLM technologies (like OpenAI, Claude, Bedrock, and more). Youll be part of the Product & AI team, working closely with product managers, engineers, and internal stakeholders to translate problems into smart, working AI-powered solutions.

This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.



Key Responsibilities:

Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation

In this role, youll work on a variety of projects. Your focus will include developing AI-driven scripts, debugging and optimizing code, and integrating cutting-edge GenAI solutions across our workflows. This position is ideal for creative and analytical people with a passion for coding and problem-solving.

Key Responsibilities:

Experiment with and integrate the latest GenAI technologies across various projects.
Research emerging GenAI techniques and contribute to our continuous improvement efforts.
Develop, maintain, and optimize AI-oriented scripts and automation tools.
Debug and troubleshoot code to enhance performance and reliability.
Collaborate with cross-functional teams to implement innovative AI solutions.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.

Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development).
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions.
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
Riverside’s technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team At Riverside, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether it’s real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If you’re excited about shaping the future of media tech, you’ll fit right in.
On your day to day You will research advanced algorithms and models to enhance the quality, effects, and aesthetics of audio and video content. You will work closely with our product and other engineering teams, as your work will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the boundaries of innovation in product and bring the most value to our customers.

About us We are Tailor Brands. We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
We need you! We’re looking for a sharp, driven, and creative AI Prompt Writer / Engineer to join our growing team. In this role, you’ll help build, refine, and optimize AI voice agents that drive both sales and support interactions. You’ll be responsible for crafting high-quality prompts, testing AI performance through ongoing QA, and collaborating closely with internal domain experts to continuously improve outcomes. This is an entry-level opportunity for self-starters who thrive in fast-paced environments, take full ownership of their work, and have a track record of excellence in previous roles, projects, or academic experiences. Key Responsibilities:
* You are responsible for the ongoing operations and improvements of AI agents in the company.
* Write and refine prompts for AI agents across product sales and support use cases
* Monitor agent conversations and conduct QA to ensure quality, accuracy, and alignment with brand voice
* Identify and diagnose behavioral and technical patterns; suggest and implement prompt or logic improvements
* Collaborate with sales, support, and product leads to align agent performance with business goals
* Work with our partners to analyze and improve agent performance
* Develop and maintain prompt libraries and documentation for internal use
* Stay up to date on the latest in LLM capabilities, prompt engineering practices, and conversational AI trends