Senior Field ML Engineer - Enterprise AI Deployments

AION; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity and ownership potential

Flexible work options

Wellness benefits

Job summary

AION is seeking a hands-on AI engineer with 6-8+ years of experience to join our enterprise AI platform team. You will own delivery of high-stakes customer projects, embedding at client sites to architect, build, and deploy multimodal AI systems and LLM applications.

You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps on AWS/Azure/GCP to deliver scalable, observable AI solutions at scale.

Qualifications

• 6-8+ years of hands-on experience building production AI/ML systems.
• Multimodal AI expertise practical experience building voice agents, vision systems, or conversational AI serving real users.
• Strong LLM foundations with fine-tuning, prompt engineering, and evaluation methodologies.
• Agent framework proficiency production experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Voice AI platform experience built real-time conversational systems with production STT/TTS integration.
• Proficiency in Python (production-grade, async programming, type hints) and JavaScript/TypeScript (full-stack development).
• RAG implementation experience with vector databases.
• MLOps & deployment hands-on with Docker, Kubernetes, CI/CD pipelines, and IaC.
• Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infra management.

Responsibilities

• Design and architect end-to-end multimodal agent systems (voice + video + text) leveraging aion's distributed GPU infrastructure.
• Build production-grade voice AI systems using STT, TTS APIs, and LLMs deployed on aion's platform.
• Develop vision-enabled agents processing real-time video streams using computer vision pipelines on aion's infrastructure.
• Implement multi-agent orchestration with LangChain or similar frameworks enabling tool use, memory management, and autonomous task completion.
• Rapidly prototype POCs in 2-4 weeks, coding alongside client teams to validate concepts and iterate.
• Optimize for sub-500ms latency, natural conversation flow, turn detection, and interruption handling in real-time systems.
• Integrate agents directly into customer codebases via REST/GraphQL/WebSocket APIs and custom SDKs (Python, TypeScript).
• Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production.

Skills

AI/ML production

Multimodal AI

LLM deployment

Python

TypeScript

LangChain

LlamaIndex

WebRTC

Vision systems

MLOps

Cloud platforms (AWS/Azure/GCP)

Observability

Tools

Docker

Kubernetes

CI/CD

infrastructure-as-code

Job description

AION is seeking a hands-on AI engineer with 6-8+ years of experience to join our enterprise AI platform team. You will own delivery of high-stakes customer projects, embedding at client sites to architect, build, and deploy multimodal AI systems and LLM applications.

You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps on AWS/Azure/GCP to deliver scalable, observable AI solutions at scale.