We are looking for a highly motivated Junior Full-Stack Engineer to join our Agentic AI & Innovation group—an elite, fast-moving unit inside the R&D department, responsible for exploring, validating, and delivering cutting-edge POCs, pilots, and internal accelerators.

In this role, you will work directly with the R&D Manager on developing innovative prototypes and mini-products leveraging state-of-the-art generative and agentic AI technologies. You will gain hands-on experience across the entire development lifecycle—from ideation to implementation, experimentation, and deployment.

This is the perfect role for a talented and curious engineer who wants to work on new technologies, fast experiments and end-to-end development.

We are GigaSpaces, a global pioneer of in-memory computing, building one of the market’s first Digital Integration Hubs (DIH) —an out-of-the-box solution that simplifies digital transformation, and a pioneering eRAG (Enterprise Retrieval Augmented Generation), a technology that aims to enable LLMs to query structured enterprise data with human-level accuracy. 

With offices in the US, Europe and Israel, GigaSpaces partners with IBM, Capgemini and Cognizant, and serves customers such as Morgan Stanley, Bank of America, CSX, Goldman Sachs, Société Générale, Credit Agricole, American Airlines, Avanza Bank, CLSA, Stellantis, and UBS.

This position is full time, hybrid and located in our main office in Herzliya.

Responsibilities:

You'll play a key role in building an exciting Generative AI innovation project. 

• Build full-stack prototypes, pilots, and POCs using modern front-end and back-end frameworks.
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• Develop agentic AI-driven features, including multi-agent workflows, orchestration, and logic layers.
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• Experiment with LLMs, vector databases, RAG pipelines, agents, and tool-calling architectures.
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• Integrate with internal and external APIs, databases, cloud services, and developer tools.
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• Own features end-to-end: design, implement, test, optimize, and deliver.
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• Work closely with the R&D Manager to shape technical approaches and feasibility assessments.
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• Support experiments that validate new technologies or architectures before they move to product teams.
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• Write clean, maintainable code and implement lightweight CI/CD pipelines for rapid iteration.
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• Collaborate with other engineering teams (backend, frontend, research) to scale successful POCs into production.
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• Document learnings, best practices, and results from pilots to guide future development.

Must-Have Requirements:

• 3 years of experience in full-stack development or strong internship experience.
• Proficiency in JavaScript/TypeScript, python.
• Proficiency in at least one of the following:

*React, Next.js, Vue, or similar front-end frameworks.

*Node.js, or another modern back-end environment.

• Experience working with REST APIs, webhooks, or microservices.
• Familiarity with SQL or NoSQL databases.
• Strong passion for AI technologies, especially LLMs, RAG, and agentic systems.
• Ability to work independently in a fast-moving, ambiguous environment.
• Curiosity, creativity, and willingness to experiment with new tools and ideas.

Nice-to-Have Skills:

• Hands-on experience with:
• Generative AI frameworks (LangChain, LlamaIndex, OpenAI APIs, Anthropic, etc.)
• Cloud platforms (AWS, Azure, GCP)
• Containerization (Docker, Kubernetes)
• Understanding of multi-agent systems and tool-calling LLMs.
• Experience building POCs or hackathon-style projects.
• Background in MLOps or data engineering is a plus.