We are looking for a Prompt Engineer to design, optimize, and continuously improve multi-turn conversational experiences across multiple product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation.
Youll work closely with product managers, who will provide requirements and prioritization, while you focus on crafting and iterating prompts, testing in real-world scenarios, and delivering natural, trustworthy interactions.
This role is based in Tel Aviv, with a hybrid work setup, combining in-office collaboration with remote flexibility.
Key Responsibilities:
Conversational Design and Prompting:
Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.
Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.
Continuous Testing and Improvement:
Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.
Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.
Collaboration and Delivery:
Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.
Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.
Documentation and Knowledge Sharing:
Maintain a prompt library with flows, system prompts, and version history and set guidelines for tone, multilingual consistency, and testing.
Share insights and learnings with the broader product and AI teams.
Requirements: Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.
Prover experience working for a B2B SaaS company.
Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).
Ability to define consistent, persona-driven conversational styles across multiple agents and products.
Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).
Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.
Basic programming skills (Python preferred) for testing and prototyping prompts.
Nice-to-Have:
Background in healthcare, caregiving, or other regulated industries.
Multi-lingual proficiency.
This position is open to all candidates.