Asks for

The ad says“Hands-on experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.”
The ad says“Experience using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, or similar.”
The ad says“Experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.”
The ad says“Experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.”
The ad says“Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.”
The ad says“Familiarity with Git, CI/CD pipelines, and software engineering best practices.”
The ad says“Experience using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, or similar.”
The ad says“Understanding of distributed systems, scalable APIs, and enterprise application development.”
The ad says“Experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.”
The ad says“Experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.”
The ad says“Familiarity with Git, CI/CD pipelines, and software engineering best practices.”
The ad says“Experience with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.”
The ad says“Experience using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, or similar.”
The ad says“Experience using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, or similar.”
The ad says“Hands-on experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.”
The ad says“Experience using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, or similar.”
The ad says“Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.”
The ad says“Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.”
The ad says“Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.”
The ad says“Hands-on experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.”
The ad says“Strong proficiency in Python with experience building production-grade applications.”
The ad says“Experience integrating AI applications with REST APIs, databases, and cloud services.”
The ad says“Hands-on experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.”
The ad says“Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.”
The ad says“Familiarity with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or PGVector.”

About aion

Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform.

We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters.

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 and we’re looking for exceptional people to help us scale.

Who You Are

You're an AI engineer passionate about building production-ready AI applications powered by Large Language Models, multimodal AI, and intelligent agents. You understand that building successful AI products goes beyond model development. It requires robust engineering, scalable infrastructure, thoughtful evaluation, and seamless integration into real-world business workflows.

You have experience building AI-powered applications using modern foundation models and frameworks. You're comfortable working across prompt engineering, retrieval systems, AI agents, model evaluation, APIs, and cloud infrastructure to deliver reliable, enterprise-grade AI solutions.

You're product-minded and understand how AI solutions create business value. You enjoy collaborating with customers, rapidly iterating on ideas, and transforming AI capabilities into production systems that solve meaningful problems.

What You'll Do

AI Application Development

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 seamlessly into Aion's platform.
Rapidly prototype, validate, and productionize AI use cases across multiple industries.

LLM & Agent Engineering

Develop advanced 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.

AI Platform Integration

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 robust evaluation frameworks to continuously measure AI quality and performance.

Performance & Reliability

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.

Engineering Excellence

Write clean, maintainable, and production-quality code following engineering best practices.
Conduct code reviews and contribute to technical design discussions.
Collaborate closely 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.

Requirements

Technical Skills & Experience

3+ years of experience building AI, machine learning, or backend software applications.
Strong proficiency in Python with experience building production-grade applications.
Hands-on experience with Large Language Models, prompt engineering, Retrieval-Augmented Generation (RAG), and AI agent frameworks.
Experience using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, or similar.
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, CI/CD pipelines, and software engineering best practices.
Understanding of distributed systems, scalable APIs, and enterprise application development.
Exposure to fine-tuning, model serving, MLOps, or inference infrastructure is highly desirable.

Bonus/ Good to Have

Generative AI: Experience building enterprise applications using GPT, Claude, Gemini, Llama, Mistral, or other foundation models.
AI Infrastructure: Experience with vLLM, TensorRT-LLM, TGI, model deployment, GPU optimization, or inference platforms.
Machine Learning: Experience with supervised learning, deep learning, model training, evaluation pipelines, and ML frameworks such as PyTorch or TensorFlow.
Enterprise Integrations: Experience integrating AI solutions with CRMs, ERPs, productivity tools, cloud platforms, and enterprise workflows.
Developer Platforms: Experience building SDKs, APIs, developer tools, or AI platform capabilities for external developers.

Benefits

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.