Senior AI Software Engineer (all genders)

United Kingdom

About us

Lucanet is the CFO Solution Platform built for modern finance leaders to automate consolidation and financial planning, extended planning and analysis, disclosure management, ESG reporting, lease accounting, tax compliance and reporting, as well as banking and cash management. More than 5,500 companies around the world rely on our easy-to-use and out-of-the-box SaaS platform to help them lead with ease.
We are a team of game changers with 850+ people worldwide. Our culture of kindness and integrity encourages you to bring your whole self to work. We collaborate to create better software solutions and grow a better company. Lucanet is more than a place to work; we are a champion for continuous improvement, pushing boundaries, impacting industries, and growing careers.

As our teams at Lucanet continue to expand, we are seeking talented engineers to join our ranks and contribute to our ongoing transformation into a cloud-native , GenAI fueled SaaS platform. Our team in Romania is playing a crucial role in driving the evolution of CFO Solution Platform, propelling us forward as a market leader. These hires will augment our existing Software Engineering teams to support the development of our AI capabilities. As an Principal / Senior AI Software Engineer, you will utilise your technical knowledge to build our AI Core foundation into our cloud-native SaaS platform.

This role is ideal for innovative developers eager to design, implement and integrate into Lucanet ecosystem scalable AI solutions, focusing on APIs, RAG architectures, and agentic frameworks. It's an exciting opportunity to shape the future of our platform, to work in an agile environment, with the latest technologies including AI based coding assistants and bring your ideas to life.

• Design and implement scalable AI/ML solutions, focusing on APIs, RAG architectures, and agentic frameworks
• Work closely with cross-functional teams, product managers to understand business requirements and translate them into technical specifications
• Test and deploy software solutions that meet business needs
• Participate in code reviews to ensure code quality and consistency
• Becoming well recognized as an internal AI expert, driving key AI initiatives from concept to deployment supporting the transformation into an AI first company
• Mentor team members

• Strong coding skills in any OOP languages (backend development)
• Proficient in Python programming with experience in AI/ML libraries such as LangChain, PydanticAI, NumPy
• Expertise in Large Language Models (LLMs) including fine-tuning, prompt engineering, and working daily with models like GPT, Claude, Gemini
• Hands-on experience with vector databases (e.g., OpenSearch, FAISS) for efficient similarity search and semantic search & retrieval of text embeddings
• Skilled in implementing conversational AI systems leveraging APIs like OpenAI Chat Completion and Assistant endpoints
• AWS, Terraform, GitHub Actions (CI/CD), Monitoring Tools, Scripting and Automation languages
• Experience with agentic architectures, designing autonomous systems that combine multiple AI components to perform complex tasks (would be a great plus)
• Understanding of Model-Context-Protocol (MCP) and how to build AI agents that can leverage MCP servers (would be a great plus)
• Knowledge of Retrieval-Augmented Generation (RAG) techniques to enhance model responses by integrating external knowledge bases during inference (would be a great plus)

• LucaFlex- We acknowledge that every individual has different working styles and preferences. Our flexible working model allows you to plan your working hours and location according to your needs and professional responsibilities.
• Work from Abroad- Sometimes a change of scenery can boost creativity and productivity, you can work up to 90 workdays outside your home country with the support from our partner Workflex
• Team Spirit- We value teamwork and celebrate our achievements. That's why we take many opportunities to get together, learn together, and cherish our successes together.
• Learning & Development- We encourage you to shape your own development with the support of dedicated time, resources, and budget provided by us.
• LucaNet Engage- Our feedback process is designed to support your personal and professional development in a targeted manner through regular dialogue.
• LucaNet Do Good- As a company we want to give back and support you in taking the time to do some good, individually or as a team, with paid volunteer time.
• Health & Wellbeing- Your overall wellbeing is important to us, which is why we offer tailored health and wellbeing programs, including company-wide initiatives, subsidies for sports activities, mental health support, and counseling through our external partners.
• Generous leave policy- We encourage you to take time off to relax, travel, and recharge.

Everybody's different here and we like it that way. At Lucanet, we embrace the unique qualities of every person. We are dedicated to creating an inclusive workplace where all employees can thrive and feel valued. Regardless of your gender identity, sexual orientation, personal expression, racial identity, ethnicity, religious belief, or disability statuses, you are welcome at Lucanet just as you are. Our recruitment process is solely based on qualifications, merit, and organizational needs, ensuring fairness and equal opportunities for all candidates.

We recognize that every person brings a unique blend of skills and experiences. If you believe you will excel in this role, we want to hear from you - even if you do not check every box on the list. We only want to know why you are great for this role, so please avoid including your picture, age, and marital status in your CV.

Please follow the provided link to understand how we comply with GDPR requirements and what measures we take to ensure your data is safe.

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Annual Salary Expectations Select

Have you worked with Large Language Models (e.g., GPT, Claude, Gemini)?

Can you briefly describe your hands-on experience with Python and AI/ML libraries such as LangChain, NumPy, or PydanticAI? We're particularly interested in how you've applied these tools in real-world projects

Have you designed or worked with agentic AI systems (e.g., using MCP or autonomous agents)?

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