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AION

Decentralized GPU marketplace for AI

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • At least 3 years of experience building AI, machine learning, or backend software applications.
  • Strong proficiency in Python and experience building production-grade applications.
  • Hands-on experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
  • Experience with frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or LangGraph, or similar frameworks.
  • Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.
  • Experience integrating AI applications with REST APIs, databases, and cloud services.
  • Understanding of model evaluation, prompt optimization, hallucination mitigation, and AI quality measurement.
  • Experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with Git, continuous integration and continuous delivery pipelines, and software engineering best practices.
  • Understanding of distributed systems, scalable APIs, and enterprise application development.

Responsibilities

  • Design, build, and deploy AI-powered applications using Large Language Models, multimodal models, and intelligent agents.
  • Develop scalable AI solutions that automate enterprise workflows and enhance customer experiences.
  • Build reusable AI services, APIs, and components that integrate into Aion's platform.
  • Rapidly prototype, validate, and productionize AI use cases across multiple industries.
  • Develop prompt engineering strategies, Retrieval-Augmented Generation (RAG) pipelines, and agentic workflows.
  • Build multi-agent systems capable of reasoning, planning, and executing complex enterprise tasks.
  • Integrate foundation models from leading providers while optimizing performance, reliability, and cost.
  • Evaluate, fine-tune, and optimize AI models for production use cases.
  • Integrate AI applications with enterprise systems, databases, APIs, and third-party platforms.
  • Build scalable inference pipelines and AI workflows that support production deployments.
  • Collaborate with platform and infrastructure teams to optimize model serving, orchestration, and deployment.
  • Implement evaluation frameworks to continuously measure AI quality and performance.
  • Optimize AI applications for latency, accuracy, scalability, and operational efficiency.
  • Implement observability, monitoring, logging, and evaluation pipelines for AI systems.
  • Ensure AI solutions meet enterprise requirements for security, privacy, governance, and compliance.
  • Troubleshoot production AI systems and continuously improve model performance through experimentation and feedback.
  • Write clean, maintainable, production-quality code following engineering best practices.
  • Conduct code reviews and contribute to technical design discussions.
  • Collaborate with Product, Platform, Infrastructure, and Customer Success teams to deliver customer-centric AI solutions.
  • Stay current with emerging AI research, tools, and technologies, and evaluate their applicability to Aion's platform.

Desired Qualifications

  • Exposure to fine-tuning, model serving, MLOps, or inference infrastructure.
  • Experience building enterprise applications using GPT, Claude, Gemini, Llama, Mistral, or other foundation models.
  • Experience with vLLM, TensorRT-LLM, TGI, model deployment, GPU optimization, or inference platforms.
  • Experience with supervised learning, deep learning, model training, evaluation pipelines, and machine learning frameworks such as PyTorch or TensorFlow.
  • Experience integrating AI solutions with CRMs, ERPs, productivity tools, cloud platforms, and enterprise workflows.
  • Experience building SDKs, APIs, developer tools, or AI platform capabilities for external developers.
  • Founder-level ownership and bias for action.
  • Strategic thinking and ability to connect technical decisions to business impact.
  • Communication and mentoring skills.
  • Ability to thrive in ambiguity, fast-paced environments, and early-stage startup culture.

About the Company

AION

Decentralized GPU marketplace for AI

AION operates a decentralized compute marketplace that lets people and businesses contribute idle GPUs to a shared network and earn passive income. Through this platform, users can buy or sell compute power for AI workloads, making high-performance AI infrastructure more affordable and accessible. Unlike traditional, centralized cloud providers, AION monetizes unused computing resources via a marketplace, offering scalable capacity and democratizing access to AI. The company aims to close the AI wealth gap by enabling widespread ownership of AI compute resources, serving tech-savvy individuals and organizations looking to reduce AI development costs. Revenue comes from facilitating transactions between compute buyers and GPU providers.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2024

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