Back End Developer

Join a leading Tel Aviv based AI technology company that is transforming the global landscape of video content!

Responsibilties:

- Architect and scale advanced backend systems that power our AI-driven platform, harnessing the capabilities of large language models (LLMs) and machine learning for intelligent automation and content generation.

- Design and implement high-performance services using Golang and Python, crafting robust APIs that facilitate complex workflows seamlessly.

- Dive into hands-on projects with the latest AI and LLM technologies, creatively integrating various models (such as GPT, Claude, and Gemini) to construct intelligent workflows and automate processes effectively.

- Collaborate closely with our product, AI research, and engineering teams to develop end-to-end features that deliver innovative AI-powered solutions to our users.

- Research emerging AI techniques and implement them to optimize model inference, enhance prompt engineering, and ensure efficient routing among different LLM providers.

- Drive technical decisions by leveraging data-driven insights while balancing performance, cost, and user experience within our AI-first architecture.

Requirements:

- A seasoned professional with 6+ years of experience in architecting, deploying, and maintaining scalable, distributed backend systems.

- Strong expertise in Golang and Python, with familiarity in frameworks like FastAPI, Gin, or Echo to build efficient services.

- Proven experience in AI/LLM integration, including prompt engineering, model APIs, vector databases, and the development of AI-powered applications.

- A solid foundation in both SQL and NoSQL databases (PostgreSQL, MongoDB, Redis) as well as experience with message queuing systems.

- Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) along with containerization and orchestration (Docker, Kubernetes).

- A product-minded engineer who possesses the ability to translate intricate AI capabilities into user-friendly features, constantly driving innovation beyond technical specifications.

- Proficiency in AI observability, with skills in monitoring LLM performance, optimizing costs, and creating reliable AI systems at scale.

- Exceptional problem-solving skills and a capacity to succeed in a fast-paced, AI-driven startup environment.

- A Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Bonus: Experience with vector databases, retrieval-augmented generation (RAG) systems, fine-tuning models, or tools related to content creation and localization will give you an edge!