CONVERSE / Conversational AI

Hire conversational AI and voice AI engineers who build for real conversations

From customer-facing AI assistants to speech-enabled workflows, conversational products need more than a convincing demo. Employers need specialists who understand dialogue design, LLM integration, retrieval, safety, evaluation and production reliability. SYNTRIVIO supports permanent remote recruitment for conversational AI engineering roles.

Discuss your conversational AI vacancy Email SYNTRIVIO

For employers recruiting permanent remote AI specialists. This is a recruitment services page, not a list of current vacancies.

Conversational AI roles you may need to hire

Job titles vary between businesses. Defining the problems your new hire will own helps separate conversational product engineering from model research, UX and platform operations.

Conversational AI Engineer

Builds and improves text-based assistants and conversational flows, integrating LLMs with product data, tools and business systems.

Voice AI Engineer

Develops voice-based experiences involving speech recognition, text-to-speech, interruption handling, latency and real-time conversation workflows.

AI Assistant / Agent Engineer

Designs multi-step conversational systems with retrieval, tool calling, workflow hand-offs, guardrails, monitoring and human escalation.

Conversational AI Technical Lead

Owns architecture, evaluation, integration decisions and engineering standards as conversational applications move from pilot to production.

If you need primarily dialogue research or conversation design rather than engineering, we can help clarify the distinction in your hiring brief.

What to assess before hiring

Strong conversational AI candidates should be able to explain how they made a system useful, safe and dependable under real operating conditions.

Conversation quality: how do they test intent handling, context, multi-turn interactions and graceful recovery from misunderstandings?
LLM and retrieval integration: can they connect assistants to trusted knowledge, enterprise systems and tools while controlling errors?
Voice experience: where relevant, can they manage speech recognition, streaming, turn-taking, interruptions and response latency?
Safety and privacy: can they prevent inappropriate disclosure, design escalation paths and evaluate prompt-injection or misuse risks?
Evaluation and operations: can they measure resolution, task completion, containment, quality, cost and human hand-offs?
Business integration: can they work with product, customer support, operations and engineering teams to ship a reliable service?

Depending on the product, relevant experience may include Python or TypeScript, LLM APIs, speech services, retrieval, orchestration frameworks, contact-centre integrations, observability and cloud deployment. Prioritise evidence of delivery over tool-name familiarity.

Define the right conversational AI hiring brief

Start with the user conversation your system needs to support. Is it an internal knowledge assistant, a customer service agent, a real-time voice experience or an assistant that performs actions in business applications?

If your challenge is primarily LLM architecture, retrieval and evaluation, explore Applied AI & LLM Recruitment. For application delivery, see AI Product Engineering Recruitment.

For cross-system workflows, explore AI Automation & Integration Recruitment. For production hosting and monitoring, see AI Platform, MLOps & Cloud Recruitment.

Target users and the type of conversations to support
Text, voice, multilingual or omnichannel requirements
Knowledge sources, tools and business system integrations
Response quality, latency, escalation and privacy requirements
Technical stack, ownership, seniority and team structure
Salary range, remote working eligibility and hiring timeline

How to begin a recruitment conversation with SYNTRIVIO

Explain the use case. Describe who will use the assistant, what it must accomplish and where the current product stands.
Prioritise the skills. Decide whether you need voice engineering, assistant integration, applied LLM development or technical leadership.
Share the vacancy details. Include the permanent role, salary, working arrangement, location eligibility and desired start date.

This page is designed for employers. Candidates can use the talent enquiry route on the homepage.

CONVERSE / Hiring managers

Hiring a conversational AI or voice AI engineer?

Tell us about the product, the conversations it needs to handle and the delivery capability your team is missing. Start with your hiring brief.

Send your conversational AI hiring enquiry

Or email hirewithus@syntrivio.com.