AION
Senior Forward Deployed ML Engineer, Agents
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About aion
aion is the Enterprise AI Platform, a full-stack solution for building, fine-tuning, deploying, and forward-deploying AI for enterprises at scale. Whether you're modernizing internal operations, launching AI-powered products, or transforming customer experiences, aion provides everything needed to move from concept to production on a single, unified platform.
By abstracting away infrastructure complexity, aion unifies compute orchestration, training workflows, data pipelines, model versioning, and deployment into a streamlined enterprise experience. We forward-deploy AI for enterprises, enabling organizations to rapidly implement production-ready AI solutions.
We're a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we're building the next generation of enterprise AI infrastructure and are looking for exceptional people to help us scale.
Who You Are
You're a hands-on AI engineer with 3-5+ years of experience building production-grade multimodal AI systems and LLM applications. Your responsibilities mirror those of a hands-on AI startup CTO you work in small teams to own delivery of high-stakes customer projects, embedding directly at client sites to architect, build, and deploy intelligent agent solutions.
You're equally comfortable writing production code, presenting technical solutions to C-level executives, and debugging complex AI systems on factory floors or in customer data centers. You've shipped voice agents, video processing systems, or conversational AI to production. You thrive translating ambiguous business requirements into concrete technical solutions that create measurable impact.
You're comfortable working across the full AI deployment lifecycle from use case discovery and solution architecture to multimodal agent development, MLOps pipeline implementation, and production optimization. You understand what makes agents perform well in production and how to systematically improve quality through observability and evaluation. Experience with voice AI platforms, RAG systems, and LLM orchestration frameworks is highly desirable. You bring exceptional communication skills, customer empathy, and the drive to build AI solutions that transform enterprise operations globally.
What You'll Do
Customer Engagement & Multimodal Agent Development
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Work directly at customer sites from factory floors to executive offices conducting discovery workshops and technical assessments to identify high-impact AI opportunities
- Design and architect end-to-end multimodal agent systems (voice + video + text) that leverage aion's distributed GPU infrastructure and managed services
- 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 sophisticated multi-agent orchestration with(or similar) frameworks like LangChain or LlamaIndex—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 based on feedback
- 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
Data Strategy & MLOps Infrastructure
- Design data architectures with efficient processing pipelines and ingestion workflows for training and inference on aion's platform
- Implement RAG systems with vector databases optimizing embedding strategies, chunk sizes, and retrieval methods
- Prepare and validate datasets for fine-tuning, evaluation, and synthetic data generation
- Work with other MLEs, MLOps, SREs to carry out model deployment and productionization
Observability, Evaluation & Production Operations
- Implement LLM and agents observability and monitoring tracking token usage, latency, costs, and quality metrics across deployments on aion's infrastructure
- Instrument applications to trace LLM calls, retrieval operations, agent actions, and data flows
- Build evaluation frameworks with offline benchmarks (accuracy, relevance, safety metrics) and online monitoring (user feedback, drift detection)
Technical Skills & Experience
- 6-8+ years of hands-on experience building production AI/ML systems, with 3-4+ years deploying LLM applications to production
- Multimodal AI expertise practical experience building voice agents, vision systems, or conversational AI serving real users
- Strong LLM foundations hands-on with modern foundation models including 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 built retrieval-augmented generation systems with vector databases
- MLOps & deployment hands-on with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code
- Cloud platforms experience with AWS, Azure, or GCP for ML workloads and infrastructure management
- Exceptional communication ability to explain complex AI concepts clearly to both technical and business stakeholders
- Customer-facing experience in Solutions Architecture, Technical Account Management, or Pre-Sales Engineering is highly desirable
- Computer vision experience working with video processing, object detection, or vision-language models is a plus
- Model fine-tuning practical experience with LoRA/QLoRA, supervised fine-tuning, or RLHF workflows is a plus
- Inference optimization experience with vLLM, TensorRT-LLM, Triton, or model quantization techniques is desirable
- Observability tooling practical experience with LLM monitoring, tracing, and evaluation frameworks is a strong plus
- Familiarity with WebRTC, real-time streaming protocols, and low-latency media processing
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Attributes:
- Founder-level ownership and bias for action.
- Strong strategic thinking and ability to connect technical decisions to business impact.
- Excellent communication and mentoring skills.
- Thrives in ambiguity, fast-paced environments, and early-stage startup culture.
Why Join aion?
- Work directly with high-pedigree founders shaping technical and product strategy.
- Build infrastructure powering the future of AI compute globally.
- Significant ownership and impact with equity reflective of your contributions.
- Competitive compensation, flexible work options, and wellness benefits
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location