Generative AI Developer (1005678)

Elad Software Systems specialize in managing and executing end-to-end projects and offer business solutions to help companies strengthen their relationship with end-client and improve the company’s customer experience using impeccable innovative and quality solutions.

We work through three different channels:

Data | CRM | Digital

Our Advantage – As a project driven company that had worked in all possible fields in the market, we’re always at the forefront of technology, employ all methods and know all the available tools. In fact, this allows us to create relevant and tailor-made solutions that can answer any need or challenge you might encounter on your way to reach your business goals.

Our Team – We know exactly why we call our experts the Dream Team; each personnel in our staff is a professional in their field, who takes you on a joint process and runs your project from end-to-end. It is important to us to keep researching the field, monitor, process and check to produce effective results.

We are seeking a talented and experienced Generative AI Developer

To be a part of an exciting and new project with a leading organization.

Key Responsibilities:

• Design, develop, and deploy AI / Machine Learning / GenAI solutions end-to-end
• Work with LLMs, Prompt Engineering, and RAG (Retrieval-Augmented Generation)
• Develop .NET / C# services and interfaces for consuming AI models and solutions
• Integrate AI capabilities into existing systems (APIs, backend services, enterprise platforms)
• Collaborate closely with Product, Data, Information Security, and DevOps teams
• Optimize performance and scalability while ensuring compliance with security and regulatory

Requirements:

• B.Sc. in Computer Science / Data Science / Software Engineering or a related field or completion of an AI course (400+ hours)
• Proven 2–3 years of hands-on experience developing AI solutions
• Experience working with LLMs and GenAI platforms (OpenAI / Azure OpenAI / AWS)
• Experience with RAG and Vector Databases (e.g., Pinecone / pgvector / FAISS)
• Experience in Cloud environments (AWS / Azure / GCP)
• Hands-on experience with .NET / C#
• Experience developing backend services and APIs in a .NET environment
• Strong understanding of AI/ML concepts and how models are consumed within software systems
• Experience integrating with external AI services via APIs
• Solid understanding of data fundamentals, data structures, and SQL

Don't miss out on this amazing opportunity to grow and succeed with us! Please submit your CV to [email protected]