Hybrid Algorithm Engineer

at TechSee

• Job title: Algorithm Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Python
• Location requirements: Hybrid, Herzliya, Israel

About the role

• Algorithm Engineer designing and optimizing LLM-based agents for TechSee's Cognitive AI team. Collaborating with cross-functional teams to deliver scalable AI solutions in a hybrid work environment.

Responsibilities

• Design, develop, and optimize LLM-based agents for real-world production use cases
• Build intelligent agent frameworks that orchestrate reasoning across tools, APIs, and knowledge bases
• Deploy and maintain LLM applications in production, ensuring performance, scalability, and reliability
• Research new approaches in LLMs and agent architectures, and integrate cutting-edge techniques into production systems
• Collaborate with cross-functional teams (product, engineering, data) to translate business needs into AI solutions
• Continuously monitor and optimize deployed models, diagnosing and resolving bottlenecks
• Think creatively about complex problems and deliver technological Innovation

Requirements

• 3+ years experience as an Algorithm/Machine Learning Engineer
• 1+ years hands-on experience developing and deploying LLM-based applications in production
• Proficiency in Python and experience with Gen AI, Gen-related Python libraries and modules
• Solid understanding of cloud environments (AWS, GCP, or Azure)
• Strong research and problem-solving mindset; ability to keep up with state-of-the-art in AI
• Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine-tuning, inference, and more – Advantage
• Experience with agent-based architectures (tool orchestration, retrieval-augmented generation, structured reasoning) – Advantage
• Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval – Advantage
• Strong analytical mindset, fast learner, and highly motivated to explore new tools and AI techniques
• Excellent teamwork, communication, and ability to thrive in a fast-moving startup environment
• Bachelor or M.Sc. in Computer Science, Electrical Engineering, or a related field.

Benefits

• Personal development programs and professional training
• Solid base salary and incentives plan
• Strong benefits
• Ownership (equity) in a high-growth SaaS venture