Senior AI Engineer - LLM Specialist in Andalusia, Spain

Further Details

This senior-level AI Engineer position in Andalusia, Spain, is designed for experts in Large Language Models (LLMs). The role, presented by JR Spain on behalf of Grupo TECDATA Engineering, requires at least five years of experience in software development or data science, with a minimum of three years dedicated to bringing LLM solutions into production. Proficiency in Python, API development, and structured testing is paramount for success. Candidates will engage in practical implementation of RAG systems and AI agents, utilizing frameworks like LangGraph. Essential skills include experience with FastAPI, Pydantic, and automated testing. A key aspect involves evaluating model response quality, mitigating hallucinations, and optimizing for latency and cost within cloud environments like Azure, AWS, or Google Cloud. Furthermore, the role necessitates a deep understanding of LLM security practices, including guardrails, red teaming, and secure identity management for agents. Experience with Docker, Kubernetes, and observability tools is highly valued. This is a prime opportunity to contribute to advanced AI development in a leading Spanish company, offering significant career development.

Senior AI Engineer – LLM Opportunity in Andalusia, Spain

JR Spain is actively seeking a highly skilled Senior AI Engineer with specialized expertise in Large Language Models (LLMs) for a crucial role within Grupo TECDATA Engineering in Andalusia, Spain. This position is ideal for seasoned professionals aiming to make a significant impact in the rapidly evolving field of artificial intelligence. The company is committed to innovation and seeks individuals who can drive the development and deployment of cutting-edge AI solutions.

This role demands a minimum of five years in software development or data science, with at least three years focusing specifically on bringing LLM-based applications to life in production environments. Candidates are expected to demonstrate mastery in Python, API development, and rigorous testing protocols. The opportunity involves contributing to advanced projects that require practical application of RAG systems and AI agents, utilizing sophisticated frameworks.

Key aspects of this position include optimizing AI model performance for latency, cost, and reliability, as well as ensuring robust security measures for LLM applications. Experience with major cloud AI platforms and containerization technologies is highly advantageous. This represents a significant career step for AI specialists looking to excel in a collaborative and forward-thinking environment.

Key Highlights:

• Job Title: Senior AI Engineer – LLM
• Location: Andalusia, Spain
• Employer: Grupo TECDATA Engineering (via JR Spain)
• Required Experience: 5+ years overall, 3+ years in LLM development
• Core Technologies: Python, LLMs, RAG, AI Agents, Cloud AI Platforms
• Security Focus: LLM Guardrails, Red Teaming, OWASP Top 10 for LLM Applications

Skills

• Minimum 5 years of experience in software development, data science, or machine learning
• At least 3 years of experience developing and deploying LLM-based solutions
• Proficiency in Python
• Experience with API development and design
• Skilled in service design and code testing/validation
• Hands-on experience implementing RAG systems and AI agents
• Familiarity with frameworks like LangGraph or equivalents
• Knowledge of FastAPI, Pydantic, and structured outputs
• Experience with automated testing
• Ability to evaluate model response quality, detect hallucinations, and regressions
• Experience optimizing latency, costs, reliability, and security
• Experience with cloud model providers and platforms (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 security: guardrails, security testing (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 leveraging Large Language Models (LLMs)
• Design, build, and maintain robust APIs for AI services
• Implement Retrieval Augmented Generation (RAG) systems and AI agents
• Utilize and contribute to AI frameworks such as LangGraph
• Conduct thorough testing and validation of code and AI models
• Evaluate and optimize the quality, latency, cost, reliability, and security of AI responses
• Work with leading cloud AI platforms and providers
• Implement and manage containerized AI applications using Docker and Kubernetes
• Apply security best practices for LLM applications, including guardrails and red teaming
• Manage identities and secrets for AI agents
• Utilize observability tools to monitor and debug AI systems

How to apply