National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Full Stack Software Engineer

Complexio
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Ba[...]

Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Ba[...]

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer...

Complexio is Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafniaand Símbolo, in partnership with Marfin ManagementC Transport MaritimeTrans Sea Transport and BW Epic Kosan

 

About the job

As a Senior Fullstack Software Engineer with broad expertise, you will be a vital part of our team, developing innovative applications that leverage AI capabilities to enhance user experiences and streamline communication. You will work alongside a talented team of Data Scientists, DevOps, Product Managers, Business Analysts experts and play a key role in designing and implementing specialised AI assistant technology.

Requirements

You have

  • Excellent problem-solving and technical skills.
  • Strong communication and collaboration skills, with the ability to work in a team.
  • Interest and experience in working on early-stage software and a wide range of tasks.
  • Proven experience using technology and how it helped you build a lasting product.

Key Responsibilities

  • Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers.
  • Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience.
  • Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness.
  • Troubleshoot and resolve software defects and issues, ensuring high software quality.
  • Participate in code reviews, documentation, and the development of coding standards.

Requirements

  • Preferred M.Sc or Ph.d degree in Computer Science or a related field.
  • 7+ years of experience in Software development
  • Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby)
  • Experience with JavaScript using popular front-end frameworks (e.g., React, Angular, or Vue.js)
  • Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js
  • Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar.
  • Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.
  • Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).

A bonus

  • Experience with graph databases such as neo4js, pinecone or milvious or similar.
  • Experience building native desktop apps.
  • Experience with NLP libraries and frameworks, such as spaCy, or Transformers.
  • Familiarity with machine learning concepts and the ability to work with NLP datasets.

Benefits

(Remote must be within 4-5 hours of CET timezone)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.