AI Engineer / Ingeniero IA

Panthr; Granada; On-site; EUR 42,000 - 65,000; Full time

Job summary

Panthr is seeking two AI Engineers in Spain to design, develop and deploy production‑ready AI solutions that solve real‑world business challenges. You will work across the AI development lifecycle, from data pipelines to deploying machine learning models.

Focus areas include AI Applications & RAG or Platform, Backend & MLOps. The role offers ownership from prototype to scalable deployment and collaboration with cross‑functional teams to deliver reliable, high‑performing AI products.

Qualifications

• 1–3 years in software/data/ML; strong practical projects.
• Strong Python and software engineering fundamentals, including testing, version control and clean architecture.
• Practical experience building LLM-powered applications using LangChain, LangGraph or related technologies.
• Understanding embeddings and vector search and their application in AI-powered systems.
• REST API development with FastAPI or similar.
• Willingness to own solutions throughout their lifecycle, from development to deployment and maintenance.
• Fluent English; ability to collaborate in an international team.
• Right to work in Spain (NIE and Social Security number).

Responsibilities

• Develop AI-powered applications: Design, build and maintain applications using Python, LLMs and modern AI frameworks.
• Build AI data pipelines: Process, extract, structure and enrich unstructured data using LLMs, embeddings and vector search technologies.
• Develop RAG solutions: Build and maintain retrieval-augmented chatbots, including document ingestion, chunking, embeddings, retrieval workflows and conversational interfaces.
• Build and maintain APIs: Develop reliable REST APIs that expose AI models and inference logic for applications such as semantic search, similarity matching and recommendations.
• Implement machine learning models: Prepare data, engineer features, train, evaluate and deploy classification and prediction models.
• Deploy and operate AI services: Support the full lifecycle of AI solutions, including testing, CI/CD, monitoring, evaluation and ongoing maintenance.
• Optimize performance and costs: Improve the reliability, scalability, efficiency and cost-effectiveness of AI applications and infrastructure.
• Collaborate across teams: Work closely with colleagues from different technical and business backgrounds to translate requirements into dependable solutions.

Skills

Python

LLMs

LangChain

LangGraph

Embeddings

REST APIs

FastAPI

Testing & VCS

English fluency

Tools

Docker

Kubernetes

CI/CD

LangSmith

Job description

@ Team Panthr

Expect the unexpected!

We are the first zero-BS talent matchmaker. Empowering individuals through their job seeking journey whilst finding the perfect candidate that fits not only a role but a company vision.

From start to finish, we focus on making the recruitment process smooth and positive for everyone involved. With more than 15 years of experience in the field, we make use of real data insights, professional expertise and technology. Although we offer worldwide service, our feet are always on the ground and trust is at the heart of what we do, built on transparency and a genuine commitment to seeing you succeed.

About The Client

Our client is an ambitious consulting company helping businesses navigate the opportunities of digital transformation. By combining strategic thinking, technological expertise and a strong understanding of business operations, the company develops practical solutions that improve efficiency, support better decision‑making and create long‑term business value.

With a focus on AI, data and automation, the company works closely with its clients to turn complex challenges into tangible results. Its approach combines strategic advisory with hands‑on implementation, ensuring that innovative technologies deliver real value in everyday business operations.

Operating in an international environment with an entrepreneurial mindset, the company offers an opportunity to contribute to its continued development while working alongside experienced professionals and decision‑makers.

About The Role

We are looking for two AI Engineers to design, develop and deploy production‑ready AI solutions that solve real‑world business challenges. You will work across the AI development lifecycle, from building data pipelines and APIs to developing intelligent applications and deploying machine learning models.

Depending on your experience and interests, you can focus on AI Applications & RAG or Platform, Backend & MLOps. Both positions offer the opportunity to take ownership of solutions from initial prototype to scalable deployment, working closely with cross‑functional teams to build reliable, maintainable and high‑performing AI products.

We value practical experience and problem‑solving skills over formal credentials or years of experience. Whether you have gained your expertise professionally, through open‑source contributions, academic projects or substantial personal projects, this is an opportunity to turn your technical skills into impactful AI solutions.

Key Responsibilities

• Develop AI-powered applications: Design, build and maintain applications using Python, LLMs and modern AI frameworks.
• Build AI data pipelines: Process, extract, structure and enrich unstructured data using LLMs, embeddings and vector search technologies.
• Develop RAG solutions: Build and maintain retrieval‑augmented chatbots, including document ingestion, chunking, embeddings, retrieval workflows and conversational interfaces.
• Build and maintain APIs: Develop reliable REST APIs that expose AI models and inference logic for applications such as semantic search, similarity matching and recommendations.
• Implement machine learning models: Prepare data, engineer features, train, evaluate and deploy classification and prediction models.
• Deploy and operate AI services: Support the full lifecycle of AI solutions, including testing, CI/CD, monitoring, evaluation and ongoing maintenance.
• Optimize performance and costs: Improve the reliability, scalability, efficiency and cost‑effectiveness of AI applications and infrastructure.
• Collaborate across teams: Work closely with colleagues from different technical and business backgrounds to translate requirements into dependable solutions.

About You

You are a hands‑on engineer who enjoys solving technical challenges and building AI solutions that go beyond prototypes. You combine strong programming fundamentals with a practical understanding of modern AI technologies and are motivated to take ownership of your work from development through deployment and ongoing improvement.

You Bring The Following Skills And Experience

• Approximately 1–3 years of experience in software engineering, data engineering or machine learning, with flexibility for candidates who demonstrate strong practical skills through relevant projects.
• Strong Python programming skills and a solid understanding of software engineering fundamentals, including testing, version control and clean architecture.
• Practical experience building LLM‑powered applications using LangChain, LangGraph or related technologies.
• A good understanding of embeddings, vector search and their application in AI‑powered systems.
• Experience developing REST APIs using FastAPI or an equivalent framework.
• A willingness to take ownership of solutions throughout their lifecycle, from initial development to deployment and maintenance.
• Fluent English and the ability to collaborate effectively within an international team.
• The legal right to work in Spain, with your NIE and Social Security number available.

Additionally, depending on your area of focus, experience in the following would be beneficial:

• AI Applications & RAG: Experience building RAG chatbots, document processing workflows, conversational interfaces, source citations and multi‑step AI applications.
• Platform, Backend & MLOps: Experience with cloud deployment, Docker, Kubernetes, CI/CD, monitoring, machine learning model serving and production infrastructure. Experience with GCP services such as BigQuery, Cloud Run, Cloud Workflows and Google Cloud Storage, or self‑managed Kubernetes environments, is a plus. Familiarity with scikit‑learn, pandas, PostgreSQL, pgvector and AI evaluation tools such as LangSmith is also beneficial.