Senior AI/ML Engineer

Full-Time Remote • Engineering • AI Products

We are building the next generation of AI-powered products — from AI receptionists and call intelligence to medical scribes and workflow automation. As our Senior AI/ML Engineer, you will be the technical backbone of our AI function: defining architecture, evaluating and integrating cutting-edge tools and models, and leading a small team of junior engineers to deliver reliable, scalable AI systems in production.

This is a high-ownership role for someone who thrives at the intersection of research and real-world product engineering.

Evaluate and select AI/ML tools, frameworks, models, and infrastructure best suited for products like AI receptionists, call intelligence, and AI scribes

Design end-to-end AI system architectures covering speech, LLMs, RAG pipelines, real-time inference, and data workflows

Define engineering standards, best practices, and code review processes for the AI team

Make key build-vs-buy decisions and vendor evaluations for AI services and APIs

Own the AI layer of our core products — from prototyping and experimentation to production deployment

Stabilise and improve existing AI features: reduce latency, increase accuracy, and improve robustness

Collaborate with product managers and founders to translate business requirements into AI system design

Set up monitoring, alerting, and evaluation pipelines to track model and system performance in production

Lead and mentor a team of 2–3 junior AI/ML engineers through code reviews, pair programming, and technical guidance

Break down complex AI problems into well-scoped tasks and delegate effectively

Create a culture of experimentation, rigour, and continuous learning within the team

Stay current with the latest developments in LLMs, speech AI, and agentic systems

Identify opportunities to leverage new models or techniques to improve product capabilities

Run structured experiments and present findings to inform product and engineering decisions

4+ years of experience in AI/ML engineering, with at least 2 years in production environments

Hands-on experience building systems using LLMs (OpenAI, Anthropic, Gemini, or open-source models)

Strong proficiency in Python and ML frameworks (PyTorch, Hugging Face, LangChain/LlamaIndex, etc.)

Experience with speech and audio AI: ASR (e.g. Whisper, Deepgram), TTS, or orchestration platforms (Vapi, Livekit, Retell)

Solid understanding of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and prompt engineering

Experience deploying and scaling AI systems on cloud infrastructure (AWS, GCP, or Azure)

Track record of leading technical initiatives and mentoring junior engineers

Strong communication skills — able to articulate technical trade-offs to non-technical stakeholders

Experience with real-time AI systems (low-latency speech, streaming inference)

Familiarity with healthcare or medical documentation workflows (for AI scribe use cases)

Experience with telephony or VoIP platforms (Twilio, Vonage, Plivo)

Knowledge of multi-agent frameworks and agentic AI workflows

Prior experience at a startup or in a 0-to-1 product environment