Senior AI Engineer - LLM Specialist in Balearic Islands, Spain
We are actively seeking an accomplished Senior AI Engineer with a profound specialization in Large Language Models (LLMs) to join our dynamic team in the Balearic Islands, Spain.
This private sector opportunity focuses on developing cutting-edge AI solutions.
Ideal candidates possess extensive software development, data, or machine learning experience, with a significant portion dedicated to deploying LLM-driven applications into production environments.
This role requires a deep understanding of Python, API development, service design, and robust code testing methodologies.
You will be instrumental in implementing advanced concepts such as Retrieval-Augmented Generation (RAG) and AI agents, leveraging frameworks like LangGraph.
Proficiency in FastAPI, Pydantic, automated testing, and ensuring code quality is essential for success in this exciting position.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | Grupo TECDATA Engineering |
| Experience Required (In months): | 60 |
| Occupational Category: | Artificial Intelligence |
| Education Requirements | Bachelor Degree |
| Employment Type: | full-time |
| Advertisement Source: | Eurojobs |
| Job Location: | Islas |
| Country of Appointment: | Spain |
| Employer Contact Phone: | 92056524832 |
Further Details
Grupo TECDATA Engineering, a prominent private sector entity, is recruiting a Senior AI Engineer specializing in Large Language Models (LLMs) for their operations in the Balearic Islands, Spain. This role demands a seasoned professional with over five years of experience in software development or machine learning, including at least three years focused on bringing LLM-based solutions to market. The position is based in a beautiful European location, offering excellent career prospects. Key responsibilities include designing and implementing RAG systems, AI agents, and optimizing model performance for latency, cost, and reliability. Familiarity with cloud platforms like Azure AI Foundry, AWS Bedrock, or Google Vertex AI is highly valued. Candidates should demonstrate a strong grasp of LLM security, including guardrails and red teaming, to ensure robust and secure AI applications.
Senior AI Engineer – LLM Specialist in Balearic Islands, Spain
Grupo TECDATA Engineering is seeking a highly experienced Senior AI Engineer with a strong focus on Large Language Models (LLMs) to join their team in the picturesque Balearic Islands, Spain. This is an exceptional opportunity within the private sector for professionals passionate about driving innovation in artificial intelligence and contributing to advanced LLM deployments.
The ideal candidate will bring a wealth of knowledge, including a minimum of five years in software development, data science, or machine learning, with a concentrated three years dedicated to bringing LLM-powered solutions into production. This role is perfect for an individual who thrives on solving complex challenges and has a proven track record of technical excellence.
- Position: Senior AI Engineer – LLM
- Location: Balearic Islands, Spain
- Experience Required: 5+ years in Software Development/ML, 3+ years with LLMs
- Key Skills: Python, LLM Implementation, RAG, AI Agents, Cloud Platforms (Azure, AWS, Google), API Development, Security
- Company Sector: Private
Skills
- At least 5 years of experience in software development, data, or Machine Learning
- Minimum 3 years developing and deploying LLM-based solutions
- Proficiency in Python
- Expertise in API development and service design
- Experience with testing and code validation
- Practical experience implementing RAG solutions and AI agents
- Familiarity with frameworks like LangGraph or equivalents
- Knowledge of FastAPI and Pydantic
- Experience with automated testing and code quality assurance
- Ability to evaluate model response quality, detect hallucinations and regressions
- Skills in optimizing latency, costs, reliability, and security
- Experience with cloud model providers (Azure AI Foundry/Azure OpenAI, AWS Bedrock, Google Vertex AI)
- Knowledge of Docker, Kubernetes, and Terraform
- Familiarity with observability tools (OpenTelemetry, Langfuse, LangSmith)
- Experience in LLM application security: guardrails, red teaming, OWASP Top 10 for LLM Applications
- Experience with identity and secret management for agents
Duties and Responsibilities:
- Develop and deploy advanced AI solutions using Large Language Models (LLMs)
- Implement Retrieval-Augmented Generation (RAG) systems and AI agents
- Design and build robust APIs and services using Python
- Ensure high quality of code through comprehensive testing and validation
- Optimize LLM performance for latency, cost, reliability, and security
- Evaluate and improve the quality of model responses, addressing hallucinations and regressions
- Utilize cloud platforms such as Azure AI Foundry, AWS Bedrock, or Google Vertex AI
- Deploy applications using Docker, Kubernetes, and Terraform
- Implement observability for AI systems using tools like Langfuse or LangSmith
- Ensure the security of LLM applications through guardrails and red teaming exercises
- Manage identities and secrets for AI agents securely
How to apply
Interested candidates are invited to submit their applications for the Senior AI Engineer role specializing in LLMs. Please follow these steps carefully:
- 💼 Prepare Your Application: Ensure your Curriculum Vitae (CV) is up-to-date and highlights your relevant experience, particularly in Python, LLM development, RAG, AI agents, and cloud platforms.
- 🎓 Review Qualifications: Confirm you meet the specified requirements of at least 5 years in software development, data, or Machine Learning, with a minimum of 3 years focused on LLM solutions.
- 🌐 Access the Application Portal: Navigate to the official application link provided for this vacancy.
- 👉 Submit Your Application: Complete the online application form accurately and upload all required documents as prompted.
- ⏳ Application Deadline: Please ensure your application is submitted before the closing date of 18 December, 2026. Early applications are encouraged.
- 📞 Contact Information: For any urgent inquiries, you may refer to the contact details provided, though direct application via the link is the primary method.
- 📌 Job Reference: Keep the job reference number 1639719489920565248324624 handy for any correspondence.
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