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# Platform Engineer II

- **Company:** HCL America, Inc.
- **Location:** United States
- **Salary:** $100,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Software Debugging, Monitoring of Systems, Python (Programming Language), OpenAI, Systems Integration, Data Logging, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Microservices
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3369e70de34218a7

## About the Role

* 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

Must Have Skill

Gen AI,Python,Problem Solving, * 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

## Description

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., * 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