Embedded AI Engineer
S
SPACE44AI Operations
European Union, normal business hours, flexibilityContractSenior
Salary not disclosed
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Job Details
- Languages
- Business-fluent English (written and verbal)
- Experience
- 8+ years
- Required Skills
- Full Stack DevelopmentGitDistributed Systems
Requirements
- 8+ years building production software across backend, fullstack or platform engineering.
- Strong backend engineering experience in one or more modern programming languages.
- Experience designing and building modern web applications, APIs and distributed software systems.
- Strong understanding of software architecture, engineering best practices and maintainable production code.
- Experience contributing across modern frontend technologies is advantageous.
- Comfortable learning new languages, frameworks and client technology stacks quickly.
- Experience using AI-assisted development tools.
- Working knowledge of LLMs, Retrieval-Augmented Generation (RAG), AI agents and agentic development approaches.
- Proficiency with Git version control.
- Track record of reliable, consistent delivery in remote engineering teams.
- Comfortable working inside established engineering processes while contributing improvements.
- Strong ownership mentality, you deliver what you commit to.
- Business-fluent English (written and verbal).
Responsibilities
- Join client engineering teams as an embedded software engineer.
- Deliver production-quality software alongside client developers.
- Use AI-assisted development tools to accelerate software delivery while maintaining engineering quality.
- Build and customise AI agents that improve engineering workflows and software delivery.
- Introduce practical AI-enabled development practices through everyday collaboration with engineering teams.
- Identify opportunities to automate repetitive engineering work and improve development efficiency.
- Share successful engineering patterns across client engagements and contribute directly to the ongoing evolution of PIPE44.
- Work closely with AI Solutions Architects to ensure technical delivery supports each client's broader AI transformation objectives.
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