This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Database and AI Support Engineer based in India.
This role offers the opportunity to support cutting-edge AI and database technologies in a fully remote environment.
You will work directly with customers to deploy, maintain, and optimize AI-powered data solutions at enterprise scale.
The position combines technical troubleshooting, cloud infrastructure expertise, database engineering, and AI knowledge.
You will help customers confidently operate complex systems across cloud and on-premise environments.
Working closely with Engineering, Product, and Customer Success teams, you will solve challenging technical problems and improve customer outcomes.
This is an impactful role for a technically curious professional passionate about AI, data platforms, and modern infrastructure.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Database and AI Support Engineer based in India.
This role offers the opportunity to support cutting-edge AI and database technologies in a fully remote environment.
You will work directly with customers to deploy, maintain, and optimize AI-powered data solutions at enterprise scale.
The position combines technical troubleshooting, cloud infrastructure expertise, database engineering, and AI knowledge.
You will help customers confidently operate complex systems across cloud and on-premise environments.
Working closely with Engineering, Product, and Customer Success teams, you will solve challenging technical problems and improve customer outcomes.
This is an impactful role for a technically curious professional passionate about AI, data platforms, and modern infrastructure.
Accountabilities:
- Support customers with installation, configuration, maintenance, and scaling of database and AI-based solutions across cloud and on-premise environments.
- Troubleshoot complex technical issues by analyzing logs, identifying root causes, debugging problems, and collaborating with engineering teams when required.
- Assist customers with database performance optimization, query improvements, data modeling, indexing, clustering, replication, backups, and system reliability.
- Support deployments across Kubernetes environments including AKS, EKS, OpenShift, and related infrastructure components.
- Configure and troubleshoot cloud infrastructure, networking components, storage systems, authentication mechanisms, and integrations.
- Provide guidance on AI technologies including LLMs, embeddings, vector search, retrieval-augmented generation (RAG), and AI application workflows.
- Develop and maintain technical documentation, knowledge base articles, and troubleshooting guides.
- Deliver training and technical enablement sessions for internal teams, customers, and partners.
- Collaborate with Product, Engineering, QA, and Customer Success teams to improve solutions and customer experiences.
- Continuously learn new technologies and contribute to the evolution of AI-driven data infrastructure practices.
- 5+ years of experience in Support Engineering or a similar technical customer-facing role.
- 3+ years of experience working with databases such as ArangoDB, Neo4j, or comparable database technologies.
- Strong understanding of database concepts including data modeling, query optimization, indexing, clustering, replication, backups, and performance tuning.
- Experience with AI concepts such as large language models (LLMs), embeddings, vector search, retrieval-augmented generation (RAG), prompt engineering, and AI APIs.
- Hands-on experience with Kubernetes platforms including AKS, EKS, OpenShift, and Helm.
- Strong knowledge of cloud environments such as AWS, Azure, or GCP, as well as on-premise infrastructure.
- Experience with Linux environments, Docker, networking, SSH, jump boxes, and cluster administration workflows.
- Familiarity with storage technologies such as EBS, gp3, MinIO, and S3-compatible storage.
- Ability to troubleshoot networking challenges including load balancers, DNS, service endpoints, ingress controllers, and connection timeouts.
- Experience working with REST APIs, JSON, authentication methods, and scripting languages such as Python or Bash.
- Ability to read and understand code, diagnose technical issues, and work effectively with engineering teams.
- Strong written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Strong analytical thinking, attention to detail, customer focus, and ability to manage expectations effectively.
- Fluent written and spoken English communication skills.
- Fully remote work opportunity for candidates based in India.
- Opportunity to work on advanced AI and data infrastructure technologies.
- Exposure to enterprise-scale AI deployments and modern cloud-native environments.
- Collaboration with experienced technical teams across engineering, product, and customer success functions.
- Professional growth opportunities in a fast-evolving technology environment.
- Opportunity to contribute to innovative solutions shaping the future of AI-powered applications.
The Database and AI Support Engineer will be responsible for ensuring successful deployment, operation, and optimization of AI and database solutions while providing expert technical guidance to customers and internal teams.
Requirements:
The ideal candidate is a technically skilled support professional with strong database, cloud, and AI knowledge, combined with excellent communication and problem-solving abilities.