Full-Stack / Generative AI Engineer
At a glance
Mid-level AI Engineering role at Intracom Telecom. Paiania · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build web apps, dashboards and interactive visualizations, then connect their front ends to backend services
- Create LLM assistants that use tools, and develop retrieval and semantic-search flows backed by vector stores
- Set prompts, structured outputs and safeguards so AI answers rely on trusted application data
- Test for fabricated answers, unclear requests and misuse of tools; add feedback, logging and traceability
- Work with backend, AI/ML and domain teams to deliver the application
What you bring
- A degree in computer science, software engineering or a related discipline
- Strong JavaScript or TypeScript web skills with a modern frontend framework, plus Python and REST API integration experience
- Hands-on work with LLM applications and knowledge of prompting, tool use, grounding and reducing hallucinations
- Git experience, software testing skills and strong written and spoken English
Who this fits
This mid-level, full-time role is based on-site in Paiania, Greece. It suits a developer who can work across web applications and practical generative AI, and who values collaboration, feedback and continued learning.
From the employer
We are looking for a Full-Stack / Generative AI Engineer to build modern web applications and AI-assisted interfaces for technical and operational users. The role combines full-stack development with practical Generative AI, including LLM integration, RAG, tool calling and grounded AI assistants.
Responsibilities
- Develop web applications, dashboards and interactive visualizations.
- Integrate frontend applications with backend APIs.
- Build LLM-powered assistants using tool/function calling.
- Develop RAG and semantic-search workflows and integrate vector databases and embedding models.
- Implement prompts, structured responses and guardrails.
- Ensure AI responses are grounded in trusted application data.
- Test the application for hallucinations, ambiguous requests and inappropriate tool usage.
- Implement user feedback, logging and traceability and collaborate with backend, AI/ML and domain teams.
Requirements
- Degree in Computer Science, Software Engineering or a related field.
- Strong web-development skills with JavaScript/TypeScript and a modern frontend framework.
- Python development experience and experience integrating REST APIs.
- Practical experience with LLM-based applications.
- Understanding of prompting, tool calling, grounding and hallucination mitigation.
- Git, software testing and good written and spoken English.
Nice to Have
- React/TypeScript and FastAPI.
- RAG and vector databases such as Qdrant, pgvector, Milvus or Weaviate.
- Open-source LLMs and LLM-serving frameworks.
- MCP or similar tool-integration protocols.
- LLM evaluation, guardrails, Docker and Kubernetes.
- Telecommunications and technical dashboard experience.
Personal characteristics
- Strong problem-solving skills, creativity and attention to detail
- Excellent communication and organizational skills
- Adaptable, with a strong desire to learn and take on new challenges
- Open to feedback, collaboration and continuous learning
- Team-oriented
- Results-oriented
- Self-motivated
Technology Stack
React/TypeScript · Python · REST/OpenAPI · LLMs · RAG · Tool Calling · Vector Databases · Docker · Kubernetes · Git
Benefits
INTRACOM TELECOM offers an excellent working environment that fosters team spirit, collaboration, and continuous learning. Career progression is based on performance, and we provide competitive remuneration aligned with our core belief: "Our competitive advantage is our human capital."
Additional benefits include:
✔ Continuous training and professional development to stay ahead of technological advancements.
✔ An equal opportunity workplace that values diversity, ensuring fair treatment regardless of ethnicity, nationality, religion, disability, gender, sexual orientation, union membership, political affiliation, or age.