AI Engineer (Python) - Barcelona Based

KWAN; Barcelona; On-site; EUR 65,000 - 90,000; Full time

Job summary

KWAN is seeking an AI Engineer (Python) in Barcelona to lead end-to-end AI projects for finance, coordinating with business stakeholders to define problems and deploy measurable outcomes. You will rapidly build AI apps on an existing platform using RAG pipelines and LangChain, delivering iterative UI with business feedback.

The role requires 5+ years of Python, experience with FastAPI and Streamlit, REST API design, and fluency with cloud data platforms.

Qualifications

• 5+ years of professional experience with Python.
• Experience with FastAPI and Streamlit.
• RAG pipeline construction (chunking, embeddings, vector search, retrieval evaluation, grounding, citation).
• Experience with LangChain.
• Prompt engineering with evaluation discipline.
• SQL and data modeling.
• REST API design and integration.
• Fluency with a cloud data platform (at least one cloud provider).
• Git, CI/CD, and modern development workflows.

Responsibilities

• Own end-to-end delivery of AI solutions for Finance business problems, from problem definition to deployment and measurable outcomes.
• Translate ambiguous, evolving requirements into working software, directly with the business stakeholders who own the problem.
• Rapidly build vertical AI applications on top of an existing AI platform, using RAG pipelines and agentic workflows.
• Prototype quickly, delivering a functional UI to business users early and iterating on real feedback.
• Deploy solutions in a regulated environment, respecting governance, RBAC, data residency, audit, and compliance constraints.
• Instrument every solution with usage metrics, adoption tracking, and business outcome telemetry.

Skills

Python programming

FastAPI

Streamlit

RAG pipelines

LangChain

Prompt engineering

SQL

REST API design

Cloud data platform

Git & CI/CD

Job description

We are looking for a AI Engineer (Python) in Barcelona who's eager to embark on an exciting new opportunity!

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What is this challenge about:

• Own end-to-end delivery of AI solutions for Finance business problems, from problem definition to deployment and measurable outcomes.
• Translate ambiguous, evolving requirements into working software, directly with the business stakeholders who own the problem.
• Rapidly build vertical AI applications on top of an existing AI platform, using RAG pipelines and agentic workflows.
• Prototype quickly, delivering a functional UI to business users early and iterating on real feedback.
• Deploy solutions in a regulated environment, respecting governance, RBAC, data residency, audit, and compliance constraints.
• Instrument every solution with usage metrics, adoption tracking, and business outcome telemetry.

What we are looking for:

• 5+ years of professional experience with Python.
• Experience with FastAPI and Streamlit.
• RAG pipeline construction (chunking, embeddings, vector search, retrieval evaluation, grounding, citation).
• Experience with LangChain.
• Prompt engineering with evaluation discipline.
• SQL and data modeling.
• REST API design and integration.
• Fluency with a cloud data platform (at least one cloud provider).
• Git, CI/CD, and modern development workflows.

What we offer

• A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
• A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
• An empowering and respectful work culture enriched with social and learning events.
• A People Experience Partner specially assigned to you — your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

"At KWAN, they make sure that I feel comfortable with the client I'm working for and that what I'm doing aligns with my career aspirations."