Develop the full stack Phoenix LiveView application
Build the mesh of distributed AI models using Phoenix.PubSub/Channels
Develop Elixir/Python layer to interact with the AI models
Contribute and maintain the CI/CD pipeline for Elixir based applications
Collaborate on product features with research scientists, other engineers and customers
Senior Elixir / Phoenix LiveView Engineer
Job Details
permanent
United Kingdom
Jobs at
06.12.2023
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Full Job Description
We are building a distributed
AI models mesh to assist silicon chip production at the world's
largest fabs. Our technology stack is Elixir/Phoenix LiveView for
backend/frontend with Python for the AI side. As a Senior Elixir /
Phoenix LiveView Engineer you will:
We are in our
early stages, meaning that we all wear multiple hats, transitioning
between frontend, backend, and infrastructure tasks. Therefore,
curiosity and adaptability are key, regardless of the designated role.
We operate as a global team, spanning various time zones and
countries. Initiative and self-guided are highly valued traits here.
Our ideal candidate has:
5+ years of experience in using one or more from React/JS/Ruby/Rails/Django/PostgreSQL
2+ years of experience with Elixir/Phoenix LiveView
Proficiency in HTML, CSS (TailwindCSS)
Understanding of pubsub, message queues, real-time processing concepts
Good grasp on networking concepts (we are building a distributed system afterall :)
Experience designing APIs
Experience in dev operations in a cloud-based infra like AWS
Experience with Docker and containerized environments
Experience shipping and maintaining production applications
Experience in Python is a plus
- Competitive salary and equity compensation based on experience
- Opportunity to join a growing startup and be a key success factor
- Chance to work fully remote from your chosen city (Preferably +/- 2 hours of CET)
- Office in the center of Paris
- Team Rituals and Off-sites: Spain? France? Morocco?
- Benefits (e.g. Meals & transportation refund) depending your base country
- 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
- Screening Interview with our People & Culture Manager, Emma
- First Technical Interview with our VP of Product & Engineering, Vlad
- Second Technical Interview with our VP of Product & Engineering, Vlad and Engineering Manager, Calvin
- Cultural Fit Interview with our Co-Founders, David & Guglielmo
At Lynceus, we are building
the first predictive OS for high-value manufacturing
.
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.
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.