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Senior Fullstack Engineer/Fullstack Developer/Software Engineer

2 months ago


United Kingdom Complexio Full time

Complexio is Foundational AI. This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Automation can then replicate and improve these actions independently.
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.

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.

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.

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
~ Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.
~ AWS, Azure, or GCP).


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

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