Orfi is an AI notetaker for hiring teams. We analyze screening behavioral and technical interviews and provide insights into candidate skills. We aim to use AI to make hiring more efficient while keeping it human.
What you will do:
- Build AI features that turn multimodal interview data into clear reliable insights. Design multi-step analysis flows that combine audio transcripts screen recordings and structured inputs into actionable reports for recruiters.
- Shape what AI features exist from concept to production. Work with recruiters designers and full-stack developers to define opportunities decide what should be built shape the solution and drive it through delivery.
- Improve and refine existing AI workflows based on user feedback and data. Raise quality cut waste and keep the balance between performance and cost.
- Establish and maintain evaluation pipelines that measure performance guide versioning and validate improvements. Use results to choose approaches rather than rely on guesswork.
What we can offer you:
- Full-time remote collaboration with a convenient schedule. A space for professional freedom where we trust your experience instead of wasting each others time and effort micromanaging.
- A diverse and tight-knit team. Our teammates are spread across Europe from Helsinki to Lisbon our group calls are hilarious.
- Comfortable digital workspace. We use Miro Notion Google Workspace Jira etc. to make working together seamless.
*At this time we are unable to offer H-1B L-1A/B sponsorship opportunities.
**This job description is not designed to contain a comprehensive listing of activities duties or responsibilities that are required. Nothing in this job description restricts managements right to assign or reassign duties and responsibilities at any time.
**TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race color religion sex national origin age religion disability marital status sexual orientation gender identity/expression protected military/veteran status or any other legally protected factor.
Requirements:
- AI integration experience. Skilled at working with LLM APIs such as Anthropic or OpenAI and comfortable using LangChain to orchestrate calls manage context caching and prompt logic.
- Strong backend engineering with Python. Able to design and maintain production services work with async workflows understand the existing infrastructure and operate confidently with APIs and cloud deployment.
- Ability to design multi-stage data pipelines. Comfortable identifying useful inputs integrating new data sources and building stepwise analysis flows from multimodal content.
- Practical experience collaborating with cross-functional teams to explore ideas prototype quickly and ship features without hand-holding.
- Solid observability skills. Able to set up monitoring logging and fallback strategies for production AI features.
- Upper intermediate or higher proficiency level in English
Nice to have:
- Experience building agentic or tool-based LLM workflows including agentic reasoning loops.
- Experience with RAG embeddings retrieval systems or vector databases.
- Experience with multimodal data processing including audio video and images.
- Machine learning and NLP background beyond basic LLM usage. Practical experience training models running evaluations and working with standard metrics.
- Experience in early-stage startups or teams where autonomy and speed matter.
Tech stack:
- Python
- Kafka
- Helm
- GitLab ArgoCD Grafana Sentry
- LangChain
- Anthropic Assembly
Orfi is an AI notetaker for hiring teams. We analyze screening behavioral and technical interviews and provide insights into candidate skills. We aim to use AI to make hiring more efficient while keeping it human.What you will do: Build AI features that turn multimodal interview data into clear reli...
Orfi is an AI notetaker for hiring teams. We analyze screening behavioral and technical interviews and provide insights into candidate skills. We aim to use AI to make hiring more efficient while keeping it human.
What you will do:
- Build AI features that turn multimodal interview data into clear reliable insights. Design multi-step analysis flows that combine audio transcripts screen recordings and structured inputs into actionable reports for recruiters.
- Shape what AI features exist from concept to production. Work with recruiters designers and full-stack developers to define opportunities decide what should be built shape the solution and drive it through delivery.
- Improve and refine existing AI workflows based on user feedback and data. Raise quality cut waste and keep the balance between performance and cost.
- Establish and maintain evaluation pipelines that measure performance guide versioning and validate improvements. Use results to choose approaches rather than rely on guesswork.
What we can offer you:
- Full-time remote collaboration with a convenient schedule. A space for professional freedom where we trust your experience instead of wasting each others time and effort micromanaging.
- A diverse and tight-knit team. Our teammates are spread across Europe from Helsinki to Lisbon our group calls are hilarious.
- Comfortable digital workspace. We use Miro Notion Google Workspace Jira etc. to make working together seamless.
*At this time we are unable to offer H-1B L-1A/B sponsorship opportunities.
**This job description is not designed to contain a comprehensive listing of activities duties or responsibilities that are required. Nothing in this job description restricts managements right to assign or reassign duties and responsibilities at any time.
**TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race color religion sex national origin age religion disability marital status sexual orientation gender identity/expression protected military/veteran status or any other legally protected factor.
Requirements:
- AI integration experience. Skilled at working with LLM APIs such as Anthropic or OpenAI and comfortable using LangChain to orchestrate calls manage context caching and prompt logic.
- Strong backend engineering with Python. Able to design and maintain production services work with async workflows understand the existing infrastructure and operate confidently with APIs and cloud deployment.
- Ability to design multi-stage data pipelines. Comfortable identifying useful inputs integrating new data sources and building stepwise analysis flows from multimodal content.
- Practical experience collaborating with cross-functional teams to explore ideas prototype quickly and ship features without hand-holding.
- Solid observability skills. Able to set up monitoring logging and fallback strategies for production AI features.
- Upper intermediate or higher proficiency level in English
Nice to have:
- Experience building agentic or tool-based LLM workflows including agentic reasoning loops.
- Experience with RAG embeddings retrieval systems or vector databases.
- Experience with multimodal data processing including audio video and images.
- Machine learning and NLP background beyond basic LLM usage. Practical experience training models running evaluations and working with standard metrics.
- Experience in early-stage startups or teams where autonomy and speed matter.
Tech stack:
- Python
- Kafka
- Helm
- GitLab ArgoCD Grafana Sentry
- LangChain
- Anthropic Assembly
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