Your mission
As an applied AI engineer at Perelyn, you will be involved in both internal and external engagements. Your responsibilities include:
Contributing to a wide range of AI-related projects, which span from LLM use cases to computer vision, full-stack chatbot development, and Machine Learning Operations (MLOps)
Supporting research and product development involving AI components, such as Retrieval-Augmented Generation (RAG) or agentic AI
Engaging in discussions to identify and analyze use cases, both internally and externally, and architecting tailored solutions aligned with business requirements
Closely collaborating with the AI Strategy department to ensure successful implementation of AI-driven projects
Your profile
Hands-on AI and Machine Learning Experience
- Practical mentality with proven experience leveraging various AI/ML models
- Ability to implement business-driven Generative AI solutions using frameworks like LangChain, Haystack, or LlamaIndex and software development methodologies
- Interest or knowledge in classical Machine Learning/Deep Learning techniques (advantageous but not required)
- Experience with LLM/AI Agent evaluation, guardrailing, or trustworthy AI
Software Engineering and Deployment- Ability to independently create and deploy AI-driven applications, including backend code
- Proficient in Python; familiarity with JavaScript, TypeScript, R, or Java is beneficial
- Proficient with containerization and deployment strategies (Docker)
- Experience building and consuming REST APIs
- Understanding of cloud deployment and cloud-native services
Data Engineering- Knowledge of data transformation, cleaning, preparation, and model selection
- Preferred: Understanding of how to evaluate large datasets
- Preferred: Skills in data structuring and storage modeling
Communication and Professionalism- Effective communicator capable of articulating technical concepts clearly
- Confident in representing the company professionally in client interactions
- Team-oriented mindset, open to collaboration and constructive feedback
Bonus Qualifications- Knowledge of advanced Machine Learning methodologies with libraries like Scikit-learn, PyTorch, TensorFlow
- Background in statistics and model evaluation techniques
- Familiarity with computer vision technologies
- Experience with MLOps frameworks (e.g., MLflow)
- Experience integrating LLMs with graph databases (e.g., Neo4j)
- Experience with AI-augmented coding technologies (e.g., Claude Code, Gemini CLI)
- Basic understanding of frontend technologies (React or Angular advantageous)
About us
We at Perelyn are a leading consulting company in the field of artificial intelligence, and develop innovative and lasting solutions for our clients and partners. From conceptualisation to implementation, we cover the entire spectrum of artificial intelligence products, services, and strategy. Over the years, we have assisted companies like MunichRe, ProSiebenSat.1, T-Systems, Deutsche Bank and Zeiss Semiconductor in their digital transformation. Beyond that, we develop our own products and services and foster an entrepreneurial spirit with high aspirations to have societal impact that benefits humans and nature alike.
Perelyn values diversity in experiences: At Perelyn, we bring the right people with diverse backgrounds and capabilities together and continuously invest in the development of our employees, fostering engagement in line with their personal goals.
Thus, even if you do not meet all the qualifications and skills listed in the job description, we encourage you to apply if the job and our mission resonates with you.
Just like you, we want to be driven by curiosity, creating, pushing boundaries, and learn and evolve every day. What can we build today?
