Production Support Job in Hyderabad, India
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Valuable opportunity for candidates interested in production support roles in AI, but technical demands are significant.
- Relevance in AI production support roles
- Opportunity to work with innovative technologies
- Needs experience in technical troubleshooting and cloud environments
- Suitable for mid-level candidates with hands-on skills
Pros
- High relevance in the growing field of AI and automation
- Opportunity to work on production environments and development teams
- Experience in troubleshooting for innovative solutions
Cons
- Requires advanced technical skills and familiarity with cloud systems
- High-pressure environment may challenge work-life balance
- Demands on-call support and quick troubleshooting skills
Who it's for
Mid-Level • On-site or hybrid
Good fit
- Mid-level AI support professionals
- Technical experts in cloud and AI frameworks
- Candidates wishing to work in a dynamic tech environment
Not recommended for
- New graduates without relevant experience
- Individuals seeking only theoretical roles
- Those preferring remote-only arrangements
Motivation fit
Key skills
About the job
P1,C3,STS
Experience 3 to 5 Years of experience in -Design, develop, and deploy GenAI/Agentic AI applications leveraging frameworks such as LangChain, ChromaDB, OpenAI, PyTorch, Streamlit, and other emerging agentic frameworks.
Implement multi-agent systems, orchestration flows, and autonomous task execution using MCP and A2A frameworks.
Perform gap analysis, optimization, and troubleshooting of AI-driven workflows and pipelines.
Build modular, reusable, and scalable AI components integrated into enterprise ecosystems.
Collaborate with product, data, and engineering teams to deliver end-to-end GenAI solutions.
Technical Skills
Secondary Focus: Site Reliability Engineering (SRE)
Provide L2 Support with exposure to Splunk, DataDog, AEM Analytics, AppDynamics, and conduct error/alert log analysis.
Support UI/Infrastructure reliability, monitoring, and incident resolution.
Ensure reliability and performance of AI-powered applications on AWS cloud platforms.
Required Skills & Experience
Proven experience in GenAI/Agentic AI development with a strong grasp of autonomous agents, orchestration, and reasoning frameworks.
Awareness and hands-on exposure to MCP (Model Context Protocol) and A2A (Agent-to-Agent) frameworks.
Strong Python proficiency and expertise with AI/ML frameworks (PyTorch, LangChain, OpenAI APIs, etc.).
Hands-on experience with AWS, especially AWS OpenAI and Cognitive Services.
Familiarity with CI/CD pipelines, modular software design, and testing best practices.
SRE experience in error log analysis, monitoring, and cloud reliability practices
