BlackMountain is a technology company based in Vienna and Munich. We are developing a European human-centric intelligence platform that orchestrates internal company knowledge external market signals and AI tools. Our aim is to enable leadership teams to make informed decisions that align economic and ethical objectives.
We are a small closely collaborating team where responsibility is shared across disciplines. We value the ability to learn and adapt regardless of discipline or title. BlackMountain is a place for people who want to contribute to responsible technology development with a positive societal and environmental impact.
Tasks
LLM Integration & Conversation Management:
Design integrate and operate LLM-based capabilities for text generation summarization and analysis using external APIs. You design and manage prompt systems implement conversation handling with context persistence and support streaming responses and real-time interactions. You optimize token usage and API costs and design robust fallback strategies for rate limits and API failures.
Vector Search & Retrieval Architecture:
Design and maintain vector database collections and embedding pipelines for structured and unstructured content ingestion. You implement semantic search similarity matching and Retrieval-Augmented Generation (RAG) systems continuously optimizing retrieval accuracy and performance. You manage embedding model selection versioning and updates across the system.
Data Pipelines & Processing:
Build and operate data ingestion pipelines from multiple sources handling both batch and real-time processing. You implement data transformation normalization validation and cross-system synchronization. You design scoring and ranking logic while ensuring data quality consistency and reliability throughout the pipeline.
Recommendation Systems & Personalization:
Develop and operate content recommendation systems with personalization based on user behavior. You implement relevance scoring models feedback loops for continuous improvement and experimentation frameworks such as A/B testing to evaluate and refine recommendation quality.
Optimization Evaluation & Monitoring:
Track and analyze AI system and model performance metrics monitor and optimize operational costs and implement evaluation pipelines for AI outputs. You build dashboards to monitor system health establish quality benchmarks and define alerts to ensure reliable transparent and measurable AI system performance in production.
Requirements
Core experiences
- 4 years software engineering experience
- 2 years LLM/AI API integration in production
- Vector database and embeddings implementation
- Data pipeline development experience
- Strong understanding of NLP concepts
- Production ML/AI system ownership
- TypeScript or Python proficiency
Additional strengths
- RAG system implementation at scale
- LangChain LlamaIndex or similar framework experience
- Recommendation system development
- Information retrieval or search background
- Cost optimization for AI systems
- Real-time ML serving experience
- Fine-tuning or model training experience
- Research paper implementation
Benefits
At BlackMountain we believe that good work emerges where people are trusted supported and given room to grow. We aim to foster a culture of trust responsibility and shared excellence where people can work with clarity autonomy and a sense of purpose.
We offer flexible working models that acknowledge different life situations. You can work from our office in Vienna or Munich. Flexible working hours and home office options allow you to structure your work in a way that supports focus balance and long-term sustainability.
To support your professional development we invest in learning and growth. You will have access to professional training and mentoring by our experienced consultants creating space for skill development and long-term perspective.
We value plural perspectives and understand them as drivers of innovation. Therefore we aim to diversify our team not only in terms of professional expertise but also across socio-demographic diversity dimensions. To support this goal we actively encourage applications from individuals who are underrepresented or face disadvantage on the basis of gender sexual identity disability religion or origin. Where qualifications are equal we give preference to candidates from these groups.
For your day-to-day work we provide a company laptop. Full-time employment is based on 38.5 hours per week with compensation according to the Austrian collective agreement and the possibility of overpayment depending on qualifications and experience.
Show us who you are in your own way. You can send a written application a presentation work samples or anything else that tells us:
what you care about
what skills you bring to the team
what youd like to learn
and why BlackMountain feels like the right place for it.
Include links or attachments if helpful (motivational letter portfolio GitHub case study).
We value individuality more than form.
BlackMountain is a technology company based in Vienna and Munich. We are developing a European human-centric intelligence platform that orchestrates internal company knowledge external market signals and AI tools. Our aim is to enable leadership teams to make informed decisions that align economic a...
BlackMountain is a technology company based in Vienna and Munich. We are developing a European human-centric intelligence platform that orchestrates internal company knowledge external market signals and AI tools. Our aim is to enable leadership teams to make informed decisions that align economic and ethical objectives.
We are a small closely collaborating team where responsibility is shared across disciplines. We value the ability to learn and adapt regardless of discipline or title. BlackMountain is a place for people who want to contribute to responsible technology development with a positive societal and environmental impact.
Tasks
LLM Integration & Conversation Management:
Design integrate and operate LLM-based capabilities for text generation summarization and analysis using external APIs. You design and manage prompt systems implement conversation handling with context persistence and support streaming responses and real-time interactions. You optimize token usage and API costs and design robust fallback strategies for rate limits and API failures.
Vector Search & Retrieval Architecture:
Design and maintain vector database collections and embedding pipelines for structured and unstructured content ingestion. You implement semantic search similarity matching and Retrieval-Augmented Generation (RAG) systems continuously optimizing retrieval accuracy and performance. You manage embedding model selection versioning and updates across the system.
Data Pipelines & Processing:
Build and operate data ingestion pipelines from multiple sources handling both batch and real-time processing. You implement data transformation normalization validation and cross-system synchronization. You design scoring and ranking logic while ensuring data quality consistency and reliability throughout the pipeline.
Recommendation Systems & Personalization:
Develop and operate content recommendation systems with personalization based on user behavior. You implement relevance scoring models feedback loops for continuous improvement and experimentation frameworks such as A/B testing to evaluate and refine recommendation quality.
Optimization Evaluation & Monitoring:
Track and analyze AI system and model performance metrics monitor and optimize operational costs and implement evaluation pipelines for AI outputs. You build dashboards to monitor system health establish quality benchmarks and define alerts to ensure reliable transparent and measurable AI system performance in production.
Requirements
Core experiences
- 4 years software engineering experience
- 2 years LLM/AI API integration in production
- Vector database and embeddings implementation
- Data pipeline development experience
- Strong understanding of NLP concepts
- Production ML/AI system ownership
- TypeScript or Python proficiency
Additional strengths
- RAG system implementation at scale
- LangChain LlamaIndex or similar framework experience
- Recommendation system development
- Information retrieval or search background
- Cost optimization for AI systems
- Real-time ML serving experience
- Fine-tuning or model training experience
- Research paper implementation
Benefits
At BlackMountain we believe that good work emerges where people are trusted supported and given room to grow. We aim to foster a culture of trust responsibility and shared excellence where people can work with clarity autonomy and a sense of purpose.
We offer flexible working models that acknowledge different life situations. You can work from our office in Vienna or Munich. Flexible working hours and home office options allow you to structure your work in a way that supports focus balance and long-term sustainability.
To support your professional development we invest in learning and growth. You will have access to professional training and mentoring by our experienced consultants creating space for skill development and long-term perspective.
We value plural perspectives and understand them as drivers of innovation. Therefore we aim to diversify our team not only in terms of professional expertise but also across socio-demographic diversity dimensions. To support this goal we actively encourage applications from individuals who are underrepresented or face disadvantage on the basis of gender sexual identity disability religion or origin. Where qualifications are equal we give preference to candidates from these groups.
For your day-to-day work we provide a company laptop. Full-time employment is based on 38.5 hours per week with compensation according to the Austrian collective agreement and the possibility of overpayment depending on qualifications and experience.
Show us who you are in your own way. You can send a written application a presentation work samples or anything else that tells us:
what you care about
what skills you bring to the team
what youd like to learn
and why BlackMountain feels like the right place for it.
Include links or attachments if helpful (motivational letter portfolio GitHub case study).
We value individuality more than form.
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