Full Stack Ai Engineer

AtIndeep AI, we are an applied AI research laboratory working at the intersection of natural language processing, linguistics, and human cognition.Our work is grounded in a simple conviction: the tools we use to write and understand documents should make communication clearer and more trustworthy, not less.That research powers Typewiser, our document intelligence platform.Typewiser helps people produce and understand high?stakes documents with greater clarity and rigour, analysing how information is communicated, surfacing where meaning breaks down, and supporting the writer in real time.It is backed by European research funding and built on peer?reviewed scientific foundations.We are a small, multidisciplinary team of linguists, engineers, scientists, and operators.We are at the stage where the way we present ourselves to the world is still being built.That is where you come in.We're looking for a versatileFull?Stack AI Engineerto join our team at Indeep Artificial Intelligence (IAI) atour office in Barcelona.We need someone who can support our technical efforts across the board.Working closely with and directly supporting our CTO, you will move fluidly across the whole stack - from backend and platform engineering, to the LLM and AI pipelines at the core of our product, to the infrastructure that runs it, to the frontend that users touch.This is a hands?on individual?contributor role for someone who is happiest when they can pick up almost any part of the system and make progress on it.We are not looking for a specialist in a single layer.We need a strong generalist: someone who can context?switch, learn quickly, and be trusted to deliver across whatever the week demands.You won't own the architecture, but you will be the person who helps turn it into working, reliable software, and your judgement will carry real weight.We need someone with a strong startup attitude: sharp problem?solving skills, the ability to manage priorities and deliverables autonomously without rigid timeframes, and the capacity to handle diverse task assignments.If you thrive in ambiguity, move fast without sacrificing quality, and can pivot when priorities shift, you're exactly who we're looking for.This role is for someone energised by wearing multiple hats and making an impact without needing a detailed playbook.If that sounds like you, we'd be excited to hear from you.Contract Type:PermanentFull Office?Based Work Modality:Monday to Friday from 9:00 to 18:00 at WeWork Glòries BarcelonaDuties & ResponsibilitiesBuild, extend, and maintain the backend services and platform logic that power Typewiser.Write clean, tested, maintainable code, and contribute to the overall health of the codebase.Implement features end?to?end, from data layer through to API, in collaboration with the CTO.Develop and integrate the LLM?driven pipelines at the core of the product, including prompting strategies, orchestration, structured outputs, and RAG and validation layers.Integrate and evaluate third?party AI models and APIs, balancing quality, latency, and cost.Help build the tooling and evaluation needed to keep AI?driven features reliable and reproducible.Infrastructure & DeploymentSet up, maintain, and improve our deployment pipelines, infrastructure, and environments.Handle the operational side of running the platform: CI/CD, monitoring, and keeping things stable and secure.Frontend & Full?StackContribute to the frontend and deliver full?stack features as needed, ensuring a coherent experience from interface to backend.Collaborate on the product's UI where engineering and design meet.Qualifications Required5 to 8+ years of professional software engineering experience, with demonstrable full?stack breadth.Strong backend engineering skills, with proficiency in Python (our primary backend language).Hands?on experience integrating and working with LLMs or other AI/ML models in production, including prompt engineering.Working experience with frontend development and modern web frameworks.Practical experience with infrastructure, deployment, and DevOps practices (CI/CD, cloud environments, containerisation).A genuine generalist mindset: comfortable owning a problem across the entire stack rather than a single layer.Ability to work in a fast?paced startup/scale?up environment and understand the specific challenges of early?stage companies.PreferredExperience with AWS.Familiarity with RAG architectures, vector databases, and LLM evaluation.Experience in an early?stage startup, owning broad surface area with limited support.Exposure to NLP or document?processing systems.Working proficiency in other EU languages, particularly Spanish and Italian.What We Offer€50,000-€80,000 yearly gross salary depending on demonstrable experience and breadth of skills.A high?impact engineering role with broad ownership across the entire stack of a live AI product.Close, direct collaboration with the CTO and visibility across the whole company.Early?stage team member at a high?potential EIC?funded startup.How to ApplyTo apply, send your CV through LinkedIn along with links to work we can look at - a portfolio, GitHub, or projects you've shipped.We're less interested in a cover letter than in seeing what you've actually built and how you approach problems across the stack.A short note on a project you're proud of and your role in it is welcome.Applications are reviewed on a rolling basis, so don't wait to apply.#J-*****-Ljbffr

We need a strong generalist: someone who can context?switch, learn quickly, and be trusted to deliver across whatever the week demands. You won't own the architecture, but you will be the person who helps turn it into working, reliable software, and your judgement will carry real weight.We need someone with a strong startup attitude: sharp problem?solving skills, the ability to manage priorities and deliverables autonomously without rigid timeframes, and the capacity to handle diverse task assignments. If you thrive in ambiguity, move fast without sacrificing quality, and can pivot when priorities shift, you're exactly who we're looking for. This role is for someone energised by wearing multiple hats and making an impact without needing a detailed playbook. If that sounds like you, we'd be excited to hear from you.Contract Type:PermanentFull Office?Based Work Modality:Monday to Friday from 9:00 to 18:00 at WeWork Glòries BarcelonaDuties & ResponsibilitiesBuild, extend, and maintain the backend services and platform logic that power Typewiser.Write clean, tested, maintainable code, and contribute to the overall health of the codebase.Implement features end?to?end, from data layer through to API, in collaboration with the CTO.Develop and integrate the LLM?driven pipelines at the core of the product, including prompting strategies, orchestration, structured outputs, and RAG and validation layers.Integrate and evaluate third?party AI models and APIs, balancing quality, latency, and cost.Help build the tooling and evaluation needed to keep AI?driven features reliable and reproducible.Infrastructure & DeploymentSet up, maintain, and improve our deployment pipelines, infrastructure, and environments.Handle the operational side of running the platform: CI/CD, monitoring, and keeping things stable and secure.Frontend & Full?StackContribute to the frontend and deliver full?stack features as needed, ensuring a coherent experience from interface to backend.Collaborate on the product's UI where engineering and design meet.Qualifications Required5 to 8+ years of professional software engineering experience, with demonstrable full?stack breadth.Strong backend engineering skills, with proficiency in Python (our primary backend language). Hands?on experience integrating and working with LLMs or other AI/ML models in production, including prompt engineering.Working experience with frontend development and modern web frameworks.Practical experience with infrastructure, deployment, and DevOps practices (CI/CD, cloud environments, containerisation). A genuine generalist mindset: comfortable owning a problem across the entire stack rather than a single layer.Ability to work in a fast?paced startup/scale?up environment and understand the specific challenges of early?stage companies.PreferredExperience with AWS.Familiarity with RAG architectures, vector databases, and LLM evaluation.Experience in an early?stage startup, owning broad surface area with limited support.Exposure to NLP or document?processing systems.Working proficiency in other EU languages, particularly Spanish and Italian.What We Offer€50,000-€80,000 yearly gross salary depending on demonstrable experience and breadth of skills.A high?impact engineering role with broad ownership across the entire stack of a live AI product.Close, direct collaboration with the CTO and visibility across the whole company.Early?stage team member at a high?potential EIC?funded startup.How to ApplyTo apply, send your CV through LinkedIn along with links to work we

can look at - a portfolio, GitHub, or projects you've shipped. We're less interested in a cover letter than in seeing what you've actually built and how you approach problems across the stack. A short note on a project you're proud of and your role in it is welcome. Applications are reviewed on a rolling basis, so don't wait to apply. #J-*****-Ljbffr

Swiss Software Engineering. We boost people and businesses in the innovation of software-based products and services.

Therefore we are building a global platform based on a Swiss mindset and adapted to the needs of local customers. We regard our Swiss mindset as a key success factor to fulfilling our mission and are training and applying Swiss behaviours like consensus-building, pragmatism, integration, reliability and transparency in our diverse workforce across intercontinental locations. Our clients profit from method-based consulting services, partnership-oriented technology services and cost-conscious delivery services.

ERNI was founded in 1994 in Switzerland to develop innovative software for international companies and SME. Right from the beginning sharing know-how to establish collective skills and focusing on economically sound engineering solutions played a key role. Together with our great crew, they are the basis for successful software projects. Today, the ERNI Group has more than 800 employees at 18 locations in 8 countries and continues to grow.