SQLI
Digital Transformation
AIEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“AI Engineer at SQLI. Skills: AI solutions, LLM applications, Agentic workflows, Production builds. Use coding agents to prototype AI solutions. Build LLM-powered applications and agents”
Industry & Context.
Make sound engineering decisions
What They're Looking For.
Must Have
Proven experience with AI-assisted development, Shipped something real with Claude or another agent platform, TypeScript and/or Python for agentic glue code, Experience building RAG applications, Hands-on with creating and using agent plugins, Skilled at engineering prompts and context, Solid grasp of security, access control, and data protection, Experience setting up CI/CD pipelines and automation, Able to take a prototype through to a production-grade build, Business-level English
Nice to Have
Familiar with Microsoft Azure, Hands-on with Anthropic’s managed agent infrastructure, Prior work on evaluation methods for LLM outputs, Experience in e-commerce, Experience from an AI, agentic, or workflow automation background, Comfortable presenting technical work and learnings
What You'll Do.
Use coding agents to prototype AI solutions
Build LLM-powered applications and agents
Deploy LLM-powered applications and agents
Maintain LLM-powered applications and agents
Set up MCP connectors and permissions
Build production solutions
Collaborate to break business requirements
Create reusable AI assets and accelerators
Support Data & AI teams
Coach colleagues on agentic build patterns
How You'll Work.
Team & Collaboration
Delivery team; Consultants; Business analysts; Architects; Data & AI teams
Communication Scope
Communicate clearly
Process & Methodology
CI/CD pipelines, Automation
Full Job Description
We Elevate. Digitally. SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise. With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking. About the role The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand. This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run. You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision. What you will do * Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build * Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one * Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and
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