Note : If shortlisted, you will be invited for initial rounds on 6th December'25 (Saturday) in :
- Work with business stakeholders to enable successful AI adoption.
- Develop connectors leveraging MCP or third-party APIs to enable new integrations.
- Prioritize and execute integrations with internal and external data platforms.
- Collaborate with other engineers to expand AI capabilities.
- Establish and monitor uptime metrics, set up alerts, and follow a proactive maintenance schedule.
- Exposure to operations, including Docker-based and serverless deployments and troubleshooting.
- Work with DevOps engineers to manage and deploy new tools as qualifications :
- Bachelors degree in computer science, Data Science, or related field.
- 4+ years of experience in infrastructure engineering, data integration, or AI operations.
- Strong Python coding skills.
- Experience configuring and scaling infrastructure for large user bases.
- Proficiency with monitoring tools, alerting systems, and maintenance best practices.
- Hands-on experience with containerized and serverless deployments.
- Ability to code connectors using MCP or third-party APIs.
- Strong troubleshooting and support qualifications :
- Experience with building RAG knowledge bases, MCP Servers, and API integration patterns.
- Experience leveraging AI (LLMs) to boost productivity and streamline workflows.
- Exposure to working with business stakeholders to drive AI adoption and feature expansion. Familiarity with MCP server support and resilient feature design.
- Skilled at working as part of a global, diverse workforce.
- AWS Certification is a plus
(ref : hirist.tech)