APPLY / Applied AI & LLM Engineering
Hire AI & LLM engineers who can deliver in production
SYNTRIVIO supports employers recruiting specialist applied AI, generative AI, LLM and retrieval-augmented generation (RAG) engineers for permanent remote roles. Start with the outcome you need to achieve — not a long list of fashionable tools.
Discuss your hiring brief Email SYNTRIVIOEmployer enquiries only: this page explains recruitment services, not current job vacancies.
Specialist AI engineering roles
Different AI projects call for different engineering strengths. We help employers define the capabilities that matter before starting a permanent recruitment search.
Applied AI & LLM Engineers
Building applications that connect models with product workflows, APIs, evaluation processes and production systems.
RAG & Retrieval Engineers
Designing knowledge retrieval, search quality, access controls, grounded answers and measurable evaluation.
Generative AI & Agent Engineers
Creating reliable AI-enabled features and task-oriented agent workflows with suitable testing, observability and safeguards.
Senior AI Engineers & Technical Leads
Taking ownership of architecture, engineering standards, operational reliability and technical decision-making.
What should you assess when hiring an LLM engineer?
A promising prototype does not always indicate the ability to deliver a reliable production feature. For an evidence-led interview, consider whether the candidate can explain:
- Problem definition: the business task, users and measurable criteria for success.
- Retrieval and model selection: when to use RAG, fine-tuning, tool use or simpler approaches.
- Evaluation: how they test accuracy, groundedness, failure cases and regression over time.
- Data protection and security: permissions, sensitive information and prompt-injection risks.
- Operational delivery: latency, cost, monitoring, deployment and incident response.
- Product collaboration: how they work with engineering, design and business stakeholders.
These are discussion points, not a one-size-fits-all checklist. The relevant evidence depends on your particular system and team.
What to include in your AI hiring brief
Before approaching candidates, identify the problem you need the hire to solve. That makes it easier to distinguish a specialist in LLM experimentation from someone experienced in deployment and maintenance.
- Role title and seniority
- Application or system being built
- Essential versus desirable technical skills
- Remote working geography and time zones
- Permanent salary range and start date
- Interview stages and decision-maker
How to start a recruitment conversation with SYNTRIVIO
- Share the challenge. Tell us what you are building, the seniority you need and your essential requirements.
- Clarify the profile. Discuss the engineering evidence and experience that would distinguish a suitable candidate.
- Agree the recruitment approach. Discuss your hiring timeline, geographic restrictions and appropriate next steps.
We focus on permanent remote recruitment. We do not publish identifiable candidate information on this page.
Hiring for an AI team?
Talk to SYNTRIVIO about the role.
Whether you need an LLM engineer, RAG specialist or senior applied AI engineer, tell us the hiring outcome you are working towards. We can discuss how to define the search.
Send an employer hiring enquiryOr email hirewithus@syntrivio.com.
