Innio
AI

Backend Developer - Generative AI

Innio · Jenbach, T, AT

Actively hiring Posted 6 months ago

What INNIO offers you:

  • An innovative and international working environment
  • Flexible working time model (depending on position and role)
  • Health We Care program – including company sports activities
  • Moving cost support for new employees in accordance with policy
  • Good connections to public transport – station in direct proximity
  • Transportation cost support in accordance with policy
  • One of the best canteens in the area with healthy and various meals
  • Attractive location in the heart of the Alps with various outdoor sports and leisure possibilities

Your Responsibilities:

  • Work in the Data Science Team of the INNIO Digital organization on data science and software development tasks with a strong focus on backend development for Generative AI products (chatbots, agents, copilots based on Large Language Models)
  • Apply advanced machine and deep learning methods to large time-series data from multiple sources
  • Implement Python applications deployed on INNIO’s cloud-based IoT platform
  • Conduct code reviews and ensure compliance with code quality and technical guidelines
  • Use modern software design processes and tools for concept, design, and testing of software for current and new products
  • Collaborate with software product managers to implement and release features that meet stakeholder needs

Your Profile:

  • Bachelor’s or Master’s degree (or equivalent) in Computer Science, Mathematics, or a related field
  • Proven track record in implementing Python applications and web services using frameworks such as Dash, Flask, or FastAPI
  • Skilled in working with LLM APIs (e.g., OpenAI API) and tool orchestration with MCP, LangChain or similar
  • Strong background in designing, developing, and validating machine learning models with Python, PyTorch, TensorFlow, or SciKit
  • Confident handling both relational and NoSQL databases
  • Comfortable consuming REST and GraphQL APIs to integrate diverse data sources
  • Bonus points for hands-on experience with large time-series data sets, Prefect pipelines, MLOps (MLflow), cloud-based microservice architectures (Kubernetes, Docker), or additional programming languages such as Java or JavaScript
  • A valid work permit for Austria is a prerequisite for this position (Non-EU citizens: please attach the work permit to the application)
  • This role requires 50% presence at the headquarters in Jenbach, Austria

At INNIO, we offer an attractive compensation package that is above the collective agreement for the metal industry. Your qualifications and experience will be considered in an open dialogue during the recruiting process to ensure a market-competitive compensation package.

Tags & focus areas

Used for matching and alerts on DevFound
Ai Deep Learning Data Science Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.