Platform Engineer II
- Uttar Tola, India
Posted 2 days ago
About the role
Noida, Uttar Pradesh
Job Summary
Platform Engineer II
Job Summary
Support deployment of Generative AI and agentic solutions in customer environments by executing defined tasks across integration, testing, and stabilization. Work closely with senior engineers to translate solution designs into working implementations, ensuring adherence to standards, reliability, and quality.
Key Responsibilities
Support customer deployments by executing assigned tasks across pilot and production phases
Implement defined components for AI solutions including APIs, workflows, and integrations
Assist in building and configuring RAG pipelines, agent workflows, and orchestration layers under guidance
Execute testing, validation, and basic evaluation of GenAI solutions using provided frameworks
Monitor system performance and support issue identification and resolution
Work with data, APIs, and platform components to ensure smooth system integration
Follow established practices for safety, governance, and responsible AI implementation
Document implementation steps, configurations, and known issues for reuse
Collaborate with cross-functional teams (engineering, platform, support) for execution tasks
Support debugging and troubleshooting in production and non-production environments
Skill Requirements
Basic to intermediate proficiency in Python
Understanding of APIs, microservices, and system integration
Familiarity with cloud platforms (Azure / AWS / GCP)
Exposure to Generative AI / LLM concepts
Strong problem-solving and willingness to learn
Good communication skills for team collaboration
Other Requirements
Exposure to OpenAI / Azure OpenAI or similar APIs
Basic understanding of RAG and prompt engineering
Familiarity with agent frameworks (LangChain, LangGraph, etc.)
Knowledge of databases or vector stores
Exposure to debugging, logging, and monitoring tools
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Job Summary
Platform Engineer II
Job Summary
Support deployment of Generative AI and agentic solutions in customer environments by executing defined tasks across integration, testing, and stabilization. Work closely with senior engineers to translate solution designs into working implementations, ensuring adherence to standards, reliability, and quality.
Key Responsibilities
Support customer deployments by executing assigned tasks across pilot and production phases
Implement defined components for AI solutions including APIs, workflows, and integrations
Assist in building and configuring RAG pipelines, agent workflows, and orchestration layers under guidance
Execute testing, validation, and basic evaluation of GenAI solutions using provided frameworks
Monitor system performance and support issue identification and resolution
Work with data, APIs, and platform components to ensure smooth system integration
Follow established practices for safety, governance, and responsible AI implementation
Document implementation steps, configurations, and known issues for reuse
Collaborate with cross-functional teams (engineering, platform, support) for execution tasks
Support debugging and troubleshooting in production and non-production environments
Skill Requirements
Basic to intermediate proficiency in Python
Understanding of APIs, microservices, and system integration
Familiarity with cloud platforms (Azure / AWS / GCP)
Exposure to Generative AI / LLM concepts
Strong problem-solving and willingness to learn
Good communication skills for team collaboration
Other Requirements
Exposure to OpenAI / Azure OpenAI or similar APIs
Basic understanding of RAG and prompt engineering
Familiarity with agent frameworks (LangChain, LangGraph, etc.)
Knowledge of databases or vector stores
Exposure to debugging, logging, and monitoring tools
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