AI Engineer - Digital & AI Team
Join LGG Advisors' Digital & AI team to develop LLM-based solutions for financial services clients. Design, implement, and deploy scalable AI applications using Python and modern AI frameworks. Requires 3-5 years of ML/Software Engineering experience with hands-on LLM production work.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
LGG Advisors, with offices in Porto, Lisbon, London, and Madrid, provides a multitude of high added-value consultancy and technological services to financial sector firms globally. Our team provides an array of comprehensive services catering specifically to our clients’ unique and evolving circumstances, which require creative and careful consideration, decision-making, and guidance.
LGG is looking to expand its Digital & AI team with an AI Engineer who will work with clients in the development of Agents and LLM-based solutions for the financial services industry. This role is designed for an intermediate-level professional with 3–5 years of experience who is ready to contribute to production AI initiatives while continuing to grow technical depth and solution ownership.
Description
- Join LGG Advisors’ growing Digital & AI team, with offices in Porto, Lisbon, London and Madrid.
- Help leverage large language models (LLMs, MCPs) and state-of-the-art AI frameworks to develop scalable AI applications.
- Work in dynamic, fast-paced environments with strong learning, mentoring and development opportunities.
- Contribute to client-facing AI solutions for the financial services industry, collaborating closely with senior engineers, consultants and multidisciplinary teams.
- Research, evaluate and test new AI technologies, tools and frameworks under the guidance of senior team members.
- Stay up to date with AI advancements and help apply relevant methods to client and internal projects.
- Support AI projects including chatbot development, process automation, AI agents and LLM-based applications.
- Contribute to the design, implementation and deployment of AI solutions, following established architecture and engineering standards.
- Develop and maintain AI applications in Python utilizing large language models and related AI frameworks.
- Debug, test and improve AI software components for reliability, maintainability and performance.
- Craft, test and refine prompts, chains and workflows to improve LLM effectiveness and user experience.
- Build and maintain REST APIs with integrated AI features.
- Collaborate in agile environments with engineers, consultants, product owners and client stakeholders.
- Take ownership of assigned deliverables, escalating risks and dependencies when needed.
- Communicate clearly with team members and stakeholders, documenting technical work and project decisions.
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- Undergraduate degree in Computer Science, Engineering, Data Science, or a related field.
- Fluency in English at a proficient level; education or work experience in an English-speaking environment is a plus.
- 3–5 years of experience in Machine Learning, Data Engineering, Software Engineering or related technical roles, including hands-on experience developing and debugging Python applications.
- At least 1 year of practical experience building, deploying or maintaining LLM-based systems or AI-enabled applications in production or production-like environments.
- Hands-on experience with AI frameworks such as Anthropic Claude Agent SDK, LangGraph, LlamaIndex, LangChain Workflows or similar.
- Good understanding of prompt engineering practices and practical approaches for improving LLM outputs.
- Working knowledge of large language model architectures, capabilities, limitations and common application patterns.
- Experience using Pydantic or similar tools for data validation, configuration management or structured outputs.
- Familiarity with AI-driven engineering assistants such as Claude, GitHub Copilot or Gemini CLI.
- Basic to intermediate familiarity with one or more cloud services and related infrastructure, such as AWS, Azure or GCP.
- Experience working in agile, project-oriented environments.
- Strong problem-solving skills, analytical thinking and willingness to learn in a fast-moving AI landscape.
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- Familiarity with workflow automation tools such as n8n, Make, or Zapier.
- Exposure to financial services, consulting environments or regulated industries.
- Experience contributing to evaluation, monitoring or testing approaches for LLM-based applications.
- Fast-growing company with a presence in Porto, Lisbon, London, and Madrid.
- VISA sponsorship and relocation support for candidates based outside Portugal or Spain.
- Opportunity to work on complex and stimulating projects for sophisticated clients across the US and Europe.
- Competitive salary and performance-based benefits.
- Hybrid work model – up to 50% remote.
- Career Development Plan tailored to your growth.
- Internal and external Training Programs.
- Sponsorship opportunities for certifications and advanced education.
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