IA Engineer

InnoIT Consulting; Barcelona; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Competitive salary & compensation plan

Annual training budget

Growth & development plan

Descripción de la vacante

InnoIT Consulting is seeking an AI Engineer to transform unstructured business documents into reliable structured data. You will design and optimize pipelines across extraction, classification, validation and transformation, choosing the best approach per challenge including LLMs, OCR, and parsers.

You will collaborate with Product, Data Scientists and Engineers to build reusable AI capabilities and deploy robust solutions into production.

Formación

• 3+ years of AI/ML engineering or data science
• Hands-on with LLMs and model evaluation
• Experience with unstructured data and document processing
• Strong Python and software engineering practices
• Experience with REST API integration and observability
• Familiarity with version control, CI/CD and automated testing
• Ability to decide when LLM is the right tool vs rules/parsers
• Fluent English and ability to communicate trade-offs clearly

Responsabilidades

• Develop and evaluate document-processing pipelines for complex formats
• Build prompts, structured outputs, and validation logic
• Create evaluation datasets, ground-truth labels and regression tests
• Improve accuracy and robustness through analysis and iteration
• Develop clean Python services and REST APIs
• Implement logging, monitoring and observability
• Optimize for reliability, scalability, latency and cost
• Document technical decisions and evaluation results

Conocimientos

Experience with AI/ML engineering

LLMs and prompt engineering

Python programming

REST API integration

Version control & CI/CD

Analyzing trade-offs clearly

Educación

Relevant degree in CS/AI/DS/Engineering

Herramientas

Python

REST APIs

CI/CD

Git

Descripción del empleo

At InnoIT, we are looking for an AI Engineer.

You will work on turning complex, unstructured business documents into reliable structured data. This means designing and improving pipelines for extraction, classification, validation and transformation, while choosing the right approach for each challenge: LLMs, vision-language models, OCR, NLP, deterministic logic, parsers or classifiers.

Your project

You will collaborate closely with Product, Data Scientists, Data Engineers, Platform teams and business stakeholders to assess new use cases, build reusable AI capabilities and bring robust solutions into production.

Your responsibilities

• Develop and evaluate document-processing pipelines for complex, variable document formats.
• Build prompts, structured outputs, validation logic and post-processing components.
• Create representative evaluation datasets, ground-truth labels and automated regression tests.
• Improve accuracy and robustness through systematic analysis and iteration.
• Develop clean, modular and maintainable Python services and REST APIs.
• Implement logging, monitoring and observability to understand production performance and failures.
• Optimise solutions for reliability, scalability, latency and cost.
• Document technical decisions, limitations and evaluation results.

What we are looking for

• 3+ years of relevant experience in AI Engineering, Machine Learning Engineering or Data Science.
• Hands-on experience with LLMs, Generative AI, prompt engineering and model evaluation.
• Experience with unstructured or semi-structured information and document-processing solutions.
• Strong Python skills and sound software-engineering practices.
• Experience with REST API integration, monitoring and observability.
• Familiarity with version control, code review, CI/CD and automated testing.
• Ability to identify when an LLM is the right solution and when rules, regex, parsers or classifiers are more appropriate.
• Fluent English and the ability to communicate technical trade-offs clearly to non-technical audiences.
• Relevant degree in Computer Science, AI, Data Science, Mathematics, Engineering or a related field.

Technologies

Work model and location: Not specified in the job description.

What we offer

• A hybrid working model that supports a healthy work-life balance.
• Competitive salary and a flexible compensation plan.
• An annual budget for training and professional development.
• Opportunities to take part in technology communities and industry events.
• Ongoing follow-up and professional support.
• A development and growth plan tailored to your goals.

At InnoIT, we believe talent thrives in an environment where learning, innovation and enjoying the journey go hand in hand.

Join our team, contribute to innovative projects and continue growing alongside professionals who are passionate about technology.

Find out more about us

https://www.meetup.com/es-ES/Meetup-de-InnoIT-Consulting-en-Barcelona/

https://www.meetup.com/es-ES/meetup-de-innoit-consulting-en-madrid/

Diversity, Equity and Inclusion

At InnoIT, we actively promote diversity, equity and inclusion. We welcome people from all backgrounds, experiences and professional paths, and we particularly encourage applications from groups traditionally underrepresented in the technology sector.

We assess every application objectively and fairly, ensuring equal opportunities throughout the selection process. We are also committed to making any reasonable adjustments required to provide an accessible and inclusive experience.

We do not discriminate based on gender, age, origin, nationality, sexual orientation, gender identity or expression, religion, disability, or any other status protected by applicable law.

We work to build a diverse, respectful and inclusive workplace where everyone has equal opportunities for professional growth, development and recognition.

If you’re interested in working in an international environment with modern technologies, we’d love to hear from you!