Hybrid Forward Deployed ML Engineer, Agents

at aion

• Job title: Forward Deployed ML Engineer, Agents
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: GraphQL, Python, TypeScript
• Location requirements: Hybrid, Bengaluru, India

About the role

• AI Engineer building multimodal AI systems and LLM applications at AION. Working directly with clients to develop and deploy intelligent agent solutions in hybrid environments.

Responsibilities

• Customer Engagement & Multimodal Agent Development
• 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
• Build production-grade voice AI systems
• Develop vision-enabled agents processing real-time video streams
• Implement sophisticated multi-agent orchestration
• Rapidly prototype POCs
• Optimize for sub-500ms latency
• Integrate agents directly into customer codebases
• Act as trusted technical advisor to customers
• Data Strategy & MLOps Infrastructure
• Design data architectures
• Implement RAG systems
• Prepare and validate datasets
• Work with other MLEs, MLOps, SREs to carry out model deployment
• Observability, Evaluation & Production Operations
• Implement LLM and agents observability and monitoring
• Instrument applications
• Build evaluation frameworks

Requirements

• What You'll Do**Customer Engagement & Multimodal Agent Development
• 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)

Benefits

• **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.