Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.
Are you the NEXT one?
- Type of contract
- Location
Job Description
STX Next is a software house working hands-on with the latest AI technologies. We build solutions based on LLMs, RAG systems and AI automation, integrating them into our clients’ environments in a thoughtful, stable, and production-ready way. We are looking for an AI Engineer who feels confident working end-to-end: designing architecture, implementing solutions, and bringing them all the way to deployment. You’ll join an experienced engineering team that supports each other while maintaining a high level of autonomy and ownership.
Responsibilities
- Building and deploying RAG systems (various domains: e-commerce, finance, operations).
- Working with LLMs: finetuning, prompt engineering, architecture design, integrations.
- Creating and expanding APIs, pipelines, automations, and surrounding AI processes.
- Using n8n for automations where it makes sense.
- Designing solutions end-to-end: from presales (together with the team), through architecture, to deployment.
- Participating in projects involving vision, classical ML, or predictive maintenance when required.
- 10–20% research — depending on the project. Delivery comes first.
- Production-level Python (PEP8, clean architecture, maintainable code).
- At least one commercially deployed AI/ML project (no course projects).
- Strong knowledge of:
- LLMs
- RAG
- HuggingFace / PyTorch (or TensorFlow)
- Ability to build end-to-end applications: API, pipeline, monitoring, validation.
- Basic MLOps knowledge (Docker, logging, basic automation, clean environments).
- Proficiency in at least one cloud (AWS/GCP/Azure) and willingness to learn others when needed.
- Ability to communicate with clients at a normal, technical, no-nonsense level.
- Experience with vision computing or classical ML.
- Knowledge of vector DBs (Weaviate, Qdrant, Pinecone).
- MLflow / Airflow / DVC / wandb.
- Any level of CI/CD experience.
- You can solve problems independently.
- You don't need a full specification to move forward.
- You read documentation and follow good practices.
- You enjoy projects that end with deployment, not “experiments”.
- You prioritize solid engineering over hype.
- Work-life Balance
- Reimbursed private medical care (Medicover) and Multisport
- Leader’s support
- Technology focus
- Growth review
- Events
- Workation
Key Skills
Ranked by relevanceReady to apply?
Join STX Next and take your career to the next level!
Application takes less than 5 minutes

