AI role · Open offer

Voice AI Engineer — ASR/TTS production

Market index

Focus: Insurance AI

Paris · 500-1000 employees · Scale-up · GenAI: Partial

Full-time
Senior
Conversational AI
Hybrid
Dublin, Ireland · Hybrid
€90k–€118k

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Dublin, Ireland · Hybrid
Compensation: €90k–€118k
Experience level: Senior
Team: Conversational AI
Benefits & perks

About this role

What the team is looking for and how this position fits.

Shift Technology is hiring a Senior Voice AI Engineer — ASR/TTS production on the Conversational AI team (Hybrid · Dublin, Ireland). This is a hands-on role in NLP & language AI—not a generic “AI enthusiast” post.

You will own language understanding, generation, and quality metrics end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Dublin-based team ships voice experiences for enterprise contact centres—streaming ASR, barge-in, and low-latency TTS with strict SLAs. You bridge research prototypes and hardened services.

Hybrid with flexible remote weeks across EU time zones.

What you will do

Optimise inference graphs for real-time audio; manage VAD, diarisation, and punctuation stacks.
Instrument per-locale WER/CER dashboards and regression gates before release.
Partner with telephony teams on codec, jitter buffer, and MOS targets.
Prototype next-gen models (whisper-class, streaming conformers) with clear promotion paths.
Support customer pilots with annotation guidelines and error analysis.

What we look for

MSC/PhD or equivalent in speech/ML plus 4+ years production voice stacks.
PyTorch + C++/Python performance tuning.
Comfort debugging audio pipelines under customer load tests.

Nice to have

DSP background.
Experience with on-prem GPU appliances for regulated buyers.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
TensorFlow

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Link or describe a latency budget you negotiated with product.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, TensorFlow, and Docker.
You have owned language understanding, generation, and quality metrics in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Dublin, Ireland)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: €90k–€118k, benefits in At a glance) and your expectations align.

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What the employer asked for

Link or describe a latency budget you negotiated with product.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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