Ideal Candidate
We are looking for a
Junior AI/ML Engineer passionate about artificial intelligence and automation, who will participate in the development of modern AI applications based on LLMs, automated workflows and integration with existing software systems.The role covers both the area of
AI Engineering (applications on top of foundation models: LLM apps, RAG, prompt and context management) and exposure to the area of
ML Engineering (data preparation, model evaluation, monitoring). In addition to delivering applications, the role includes a
research and development component : testing new models and techniques, building proof-of-concepts and evaluating their applicability in our products. It is suitable for someone with a solid foundation in programming, who wants to build real AI applications — not just prototypes — and grow in an environment with mentorship from senior engineers.
Job Description
responsibility
- Developing and integrating AI applications using LLM models
- Implementing integrations through APIs and automations
- Participation in the construction of RAG (Retrieval-Augmented Generation) systems, under guidance
- Optimizing AI prompts and workflows
- Testing, debugging and improving the performance of AI applications
- Data preparation and processing
- Participation in research and development activities: exploring new models, frameworks and techniques in the field of AI/LLM
- Building proof-of-concepts and experiments to validate technical solutions, under the guidance of senior engineers
- Participation in projects involving training and evaluating ML models
- Support in monitoring the performance of models in production
- Collaboration with the product and software development team
- Documentation of technical solutions
Mandatory
Technical Requirements
- Solid programming fundamentals (data structures, algorithmic logic, OOP principles)
- Minimum 6 months – 1 year of experience with Python (professional experience, internship or relevant personal projects)
- Good knowledge of:
REST APIs
JSON
Git
Pandas
NumPy
scikit-learn
SQL
- Basics of statistics (required for working with data and evaluating models)
- Cloud basics
- Experience with at least one AI API:
OpenAIAnthropicGoogle (Gemini API)
Understanding fundamental concepts for LLM applications:
- embeddings
- vector search
- prompt engineering
- context management
- model evaluation
Language
- Working level English (reading technical documentation and API docs, written communication)
Optional requirements (an advantage) Basicknowledge and understanding of the following — expertise is not expected, but familiarity and willingness to learn:
- Docker
- ML concepts: supervised learning, regression
- TensorFlow / PyTorch
- MLflow
- Data visualization
- Security best practices
Soft skills
- Curiosity
- Attention to detail
- Analytical thinking
- Good communication
- Understanding the business context
- Ownership
- Ability to prioritize
What we offer
- Complex and modern AI projects
- Mentoring from senior engineers and structured growth
- Technical freedom
- Flexibilitate remote/hybrid
- Access to modern AI infrastructure
- Competitive salary
Candidates’ CVs can be sent to the email address: office@sysblue.ro
Company Description
Sysblue is a company founded in 2018 and headquartered in Romania, operating in the field of information security consulting and managed cybersecurity services. We help clients solve information security challenges based on risk, not fear. We have an extensive portfolio of clients across the country, from small businesses to large corporations. Our team of certified professionals is made up of highly qualified personnel, all experts in the fields of IT security, including key industry veterans and leaders in the mobile security business, with over 10 years of international experience and multidisciplinary expertise:
- Security specialists
- Digital forensics
- IT audit experts
- Web developers
- Legal consultants
