developers for the Digital Industry Centre
Role details
Job location
Tech stack
Job description
This position is offered within the AgrifoodTEF project, a TEF co-funded by the European Commission with the Digital Europe Programme and the Ministry for Industry and MADE in Italy (MIMIT) with RRP funds. The mission of the project is to empower innovators in the agrifood sector with customized tools for the validation of their AI and robotics solutions. The DI Center is the coordinator of this project and offers services to test and experiment innovative solutions to European SMEs. Depending on organizational needs, the selected candidate may also be involved in additional activities or projects., While sharing these core objectives, the positions are specialized into two distinct profiles:
- Profile A: Junior AI Developer: Focused on advancing scientific research and development in LLM-based autonomous agents and intelligent decision-support systems within the Agritech domain, with the following specific tasks:
- Design, implement, and validate LLM-based agent architectures, including prompt engineering, tool-use orchestration, and multi-agent workflows.
- Explore and experiment with tool integration standards (e.g., Model Context Protocol) and apply Retrieval-Augmented Generation (RAG) techniques to ground agent responses in domain-specific agricultural knowledge.
- Maintain robust evaluation frameworks, such as automated benchmarks and regression tests, to ensure agent reliability and reproducibility.
- Profile B: Junior MLOps / Edge AI Developer: Focused on the development of edge-computing-oriented MLOps methodologies and tools to support the lifecycle of ML models, with the following specific tasks:
- Contribute to the implementation and documentation of modules to enhance an internal MLOps platform and support the research unit's ML workflows.
- Design and implement benchmarking tools for the evaluation of modules on resource-constrained devices, such as single-board computers and microcontrollers.
- Support the technical setup and monitoring of testing activities for edge computing and AI solutions., The Evaluating Committee will be appointed by the People Innovation for Research Director at the end of the application deadline. The recruiting process will be handled in accordance with the "Gender and generational equal opportunities, as well as the employment inclusion of people with disabilities in public contracts financed with the resources of the PNRR and PNC" guidelines and with the Foundation's Gender Equality Plan. The Committee may compile the short-list of the candidates admitted to the interview, remotely or in presence. The short-list shall be compiled based on the requirements set out in the call (contained in the requirements of the job description), with the support of the screening of CVs and any other required documents. Candidates with a minimum score will be admitted to the interview phase. Shortlisted candidates must do at least one interview with the Committee. In case of specific need, the Selection Committee can also meet remotely, by teleconference or videoconference, provided that all members can be identified and that they are able to follow and intervene in the discussion, as well as to receive, transmit and view documents. During the evaluation step, evaluation support tools such as tests or questionnaires may be used. Furthermore, group tests and/or practical tests may be administered.
Evaluation criteria
The selection process includes two evaluation moments led by the Commission: the screening and the interview phase. The screening process will be based on the evaluation of the qualifications and expertise that the candidate expresses on the resume. A maximum of 40 points will be allocated to this assessment phase and only candidates obtaining at least 25 points will be admitted to the interview. The interview scores will be assigned to candidates by the Commission according to the following criteria: the presentation of their personal research profile; the knowledge about the scientific domain, the experience in working for research projects and the language skills. A maximum of 60 points will be allocated to this assessment phase. The interview is considered as "passed" if the applicant obtains at least 45 points.The final score will be used to generate the final suitability list for each job position.
Results of the selection process
All candidates will be notified via email once the selection process has been completed. The suitability list may be used to fill the position in case the successful candidate doesn't accept the job offer. At the website https://jobs.fbk.eu/ in the "Selection results" section, will be published the details of the selection process and the final results.
Diversity & Inclusion policy
FBK actively seeks diversity and promotes inclusion in the workplace. The main aims of the FBK Diversity & Inclusion policy are to:
- promote gender equality across the research domains and on all levels by encouraging qualified female candidates to apply for job positions and by implementing specific improvements and measures as stated in the Gender Equality Plan (GEP)
- foster young talents development by offering opportunities to grow
- become a disability-inclusive organization by encouraging applications from candidates with a disability (Law 68/99). We provide special assistance to applicants during the recruitment procedure and reasonable arrangements for disabled staff
- promote a healthy work-life balance by offering a package of flexible working arrangements and facilities (telework, individual working time, parental leave, etc).
Requirements
The ideal candidate must have the following requirements:
- Academic background in computer science, artificial intelligence, or related engineering fields;
- Good knowledge of at least one programming language (Python, Java, or C/C++) and software design patterns (e.g., SOLID principles);
- Familiarity with software version control systems (e.g., Git).
- Language assessment according to the Common European Framework of Reference for Languages (CEFR): level of knowledge required. Knowledge of English will be verified during the interview on a technical or scientific topic and must be equal to or exceed level B2. Definitions of levels can be found at the following link https://www.coe.int/en/web/common-european-framework-reference-languages/level-descriptions;
- Teamwork approach, good communication and relational skills;
- Strong orientation to results, determination, flexibility and aptitude for problem-solving.
Specific Technical Requirements:
- For Profile A: Familiarity with LLM APIs (OpenAI, Anthropic), agent frameworks (LangChain, LangGraph), and web technologies (REST APIs, JavaScript/TypeScript).
- For Profile B: Familiarity with MLOps methodologies and experiment tracking tools (e.g., MLFlow, Tensorboard, Weight & Biases).
Furthermore, the following elements will be positively evaluated:
- Experience with Agile methodologies and Test-Driven Development (TDD).
- Domain knowledge in agriculture or precision farming.
Specific further requirements:
- For Profile A: Experience with data engineering practices (ETL) and both structured and unstructured data systems.
- For Profile B: Familiarity with containerization technologies like Docker and Kubernetes.
Benefits & conditions
Type of contract: fixed-term contract Working hours: full-time (38 h per week) Start date: May/June 2026 Duration: 12 months Contract type: CCPL Research Foundation Personnel (https://trasparenza.fbk.eu/ita/Personale/Contrattazione-collettiva/Rinnovo-CCPL-delle-Fondazioni) for a fourth level tecnichan , the current gross annual remuneration is Euro 31.654,24. Workplace: Povo, Trento (Italy) Benefits: flexi-time, company subsidized cafeteria or meal vouchers, internal car park, welcome office support for visa formalities and for research in accommodation, supplementary pension (Resaver, Laborfonds) and health fund (Sanifonds), family-work balance, free training courses, support on bank account opening, discount on public transport, sport, language course fees, counseling and psychological support service. More info at https://www.fbk.eu/en/work-with-us
