Application Tech Support Practitioner
Pune
Job No. atci-5348042-s1952747
Full-time
工作描述
Project Role : Application Tech Support Practitioner
Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.
Must have skills : NNM Tools Administration
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Agentic Developer – Infrastructure Managed Services
The Agentic Developer is responsible for end-to-end design, development, and operationalization of Agentic AI solutions for Infrastructure Managed Services. This role requires deep hands-on expertise across agentic frameworks, automation, AI integration, and infrastructure domains (Data Center, Cloud, Network, Compute, Storage etc).
Roles & Responsibilities:
Agentic AI Engineering (Primary Accountability)
Design and implement agentic AI solutions addressing infrastructure operations use cases
Build single-agent and multi-agent systems using planner–executor, tool-using, and reflection patterns.
Develop reusable agent frameworks, tools, and workflows aligned with enterprise standards.
Infrastructure Domain Ownership
Posses strong Infrastructure Managed Services expertise
Act as a technical domain specialist for infra-focused agentic solutions.
Platform & Tool Integration
Integrate agents with enterprise platforms including:
o ITSM tools (ServiceNow – Incident, Change, CMDB)
o Monitoring & observability tools (SCOM, Dynatrace, AppDynamics, Prometheus, Grafana)
o Automation platforms (Rundeck, Ansible, Terraform)
Develop secure Python-based tools and APIs that agents can reliably invoke.
LLM & Agent Framework Implementation
Work hands-on with LLMs in a model-provider-agnostic manner.
Implement agent capabilities using frameworks such as LangChain / LangGraph, AutoGen / CrewAI (or similar)
Manage Memory and context optimization, and Cost, latency, and reliability trade-offs
Security, Governance & Reliability
Ensure agent solutions comply with Enterprise security standards
Implement Human-in-the-loop controls, Guardrails and Failure handling and rollback mechanisms
Delivery & Stakeholder Collaboration
Independently own delivery of assigned agentic use cases.
Collaborate with Infrastructure SMEs, Platform and automation teams, and Architecture and governance teams
Produce clear technical documentation.
Professional & Technical Skills:
Technical Skills
Python (advanced) – automation, APIs, async workflows
REST APIs, authentication mechanisms, JSON
Strong knowledge of Data Center and Cloud administration, as well as Monitoring, Observability and ITSM platforms.
Strong hands-on experience in Infrastructure Managed Services
Agentic AI Skills
Experience building agent-based systems (beyond chatbots)
Strong understanding of Context and memory management
Preferred Skills (Good to Have)
Experience with AIOps or auto-remediation platforms
Exposure to MCP
Additional Information:
- 6–8 years of total IT experience
- This position is based at our Pune/Bangalore office.
- A 15 years full time education is required.
Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge.
Must have skills : NNM Tools Administration
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Agentic Developer – Infrastructure Managed Services
The Agentic Developer is responsible for end-to-end design, development, and operationalization of Agentic AI solutions for Infrastructure Managed Services. This role requires deep hands-on expertise across agentic frameworks, automation, AI integration, and infrastructure domains (Data Center, Cloud, Network, Compute, Storage etc).
Roles & Responsibilities:
Agentic AI Engineering (Primary Accountability)
Design and implement agentic AI solutions addressing infrastructure operations use cases
Build single-agent and multi-agent systems using planner–executor, tool-using, and reflection patterns.
Develop reusable agent frameworks, tools, and workflows aligned with enterprise standards.
Infrastructure Domain Ownership
Posses strong Infrastructure Managed Services expertise
Act as a technical domain specialist for infra-focused agentic solutions.
Platform & Tool Integration
Integrate agents with enterprise platforms including:
o ITSM tools (ServiceNow – Incident, Change, CMDB)
o Monitoring & observability tools (SCOM, Dynatrace, AppDynamics, Prometheus, Grafana)
o Automation platforms (Rundeck, Ansible, Terraform)
Develop secure Python-based tools and APIs that agents can reliably invoke.
LLM & Agent Framework Implementation
Work hands-on with LLMs in a model-provider-agnostic manner.
Implement agent capabilities using frameworks such as LangChain / LangGraph, AutoGen / CrewAI (or similar)
Manage Memory and context optimization, and Cost, latency, and reliability trade-offs
Security, Governance & Reliability
Ensure agent solutions comply with Enterprise security standards
Implement Human-in-the-loop controls, Guardrails and Failure handling and rollback mechanisms
Delivery & Stakeholder Collaboration
Independently own delivery of assigned agentic use cases.
Collaborate with Infrastructure SMEs, Platform and automation teams, and Architecture and governance teams
Produce clear technical documentation.
Professional & Technical Skills:
Technical Skills
Python (advanced) – automation, APIs, async workflows
REST APIs, authentication mechanisms, JSON
Strong knowledge of Data Center and Cloud administration, as well as Monitoring, Observability and ITSM platforms.
Strong hands-on experience in Infrastructure Managed Services
Agentic AI Skills
Experience building agent-based systems (beyond chatbots)
Strong understanding of Context and memory management
Preferred Skills (Good to Have)
Experience with AIOps or auto-remediation platforms
Exposure to MCP
Additional Information:
- 6–8 years of total IT experience
- This position is based at our Pune/Bangalore office.
- A 15 years full time education is required.
职位要求
15 years full time education
