DescriptionAbout the RoleWe are looking for a Prompt Engineer to design, optimize, and continuously improve multi-turn conversational experiences across multiple Sensi.AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation.
You'll 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 Austin, TX, with a hybrid work setup, combining in-office collaboration with remote flexibility.
Key ResponsibilitiesConversational 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.
- 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.
- Strong cross functional partnership and communications skills.
Nice-to-Have- Background in healthcare, caregiving, or other regulated industries.
- Multi-lingual proficiency.
