Data Scientist / Machine Learning Engineer (LLM & RAG Systems)
LynceusWhat you will do
Develop and optimize RAG pipelines to enhance LLM-driven troubleshooting.
Work with PyVector to store and retrieve relevant data efficiently.
Implement vector embedding models to power retrieval and improve accuracy.
Build high-quality Python code to power our AI applications.
Deploy and scale models on AWS (S3, Lambda, ECS, SageMaker, Bedrock).
Fine-tune and evaluate LLMs for task-specific reasoning and accuracy.
Implement efficient document indexing and retrieval for knowledge-intensive queries.
Experiment, iterate, and deploy features quickly based on real customer feedback.
Work with a small but highly skilled team to push the limits of industrial AI.
Take ownership of challenges, figure things out as you go, and adapt to changing priorities.
What we are looking for
Strong Python development skills, with experience in machine learning or NLP.
Experience with RAG architectures and knowledge retrieval techniques.
Familiarity with PyVector for vector search and retrieval.
Experience using vector embedding models (e.g., OpenAI, Bedrock Titan, Cohere, SentenceTransformers).
Understanding of embedding models and best practices for retrieval.
Experience working with AWS for cloud-based ML deployment.
Knowledge of LangChain, LlamaIndex, or other RAG frameworks.
Ability to work in a fast-paced, experimental environment, where iteration and adaptation are key.
A self-starter who can work autonomously in a remote setting.
A strong problem-solver who thrives when thrown in at the deep end.
Why us?
Work on cutting-edge AI in a complex and impactful industry.
Be part of a small, agile, and highly talented team where your work truly matters.
Enjoy full remote flexibility with the autonomy to shape your role.
Build a product that solves real-world problems for top-tier industrial clients.
If this sounds like the kind of challenge you’re excited about, we’d love to hear from you. Apply now and help us build the future of AI-driven troubleshooting!
Our Values
- We are owners: We get involved, understand the impacts we make and deliver what we commit to.
- We are bias for action: We take actions with a goal in mind and act fast
- We believe there’s always something to learn: We are not afraid of asking questions and learning from different people all the time
- We collaborate and communicate: We understand that team work is key and the team's success is also my success
- We support and respect each other: We support both external and internal stakeholders needs and respect differences we all have
- We stand by our values and walk the talk: We stand by our values to make sure that our culture is strong despite being remote-first
Interview Process
- Screening Interview with our HR Team
- Technical Interview with our Delivery Team
- Cultural Fit Interview with our Co-Founder
About us
We provide software with edge/cloud hybrid architecture, deployed within manufacturing process control tools. We are building a scalable generic product, supported by the most robust machine learning models. Today, our platform leverages manufacturing data and in-house process comprehension to predict the performance of manufactured goods and systems (in-line and end-of-line quality tests), with each manufacturing step modelled independently. We deliver gains for our customers both through yield improvement and added production capacity. Tomorrow, our software will provide quality predictions further in time (customer returns, product performance in time, longevity, etc), integrate within the process control tools, and allow for powerful simulations of new process steps.
Semiconductor manufacturing is our first market, and we are working today with major semiconductor firms, with deployments already completed in several factories. We are also relevant for most high added-value manufacturing, with use cases and interest proven in LED, battery, biopharma and chemical industries.
We are venture-backed and currently in the process of raising a Series A round to accelerate our growth. As we scale our team, we are actively looking for enthusiastic, ambitious and driven individuals to help us deliver the most scalable models on the market, all the while demonstrating acute process and customer understanding.
We are a remote-first company with a truly international working environment. Our team represents 11 nationalities and spans 12 vibrant cities across Europe & the Middle East, where diversity fuels our innovation in AI.