Platform Engineer II

HCL Technologies Limited; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

HCL Technologies Limited is seeking an engineer to support deployment of Generative AI solutions across customer environments, collaborating with senior engineers to translate designs into working implementations.

Responsibilities include building APIs, workflows, RAG pipelines, and conducting testing and validation, with emphasis on safety and governance. Strong Python and cloud familiarity are required.

Qualifications

• 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.
• 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.

Responsibilities

• Support customer deployments by executing tasks across pilot and production phases.
• Implement components for AI solutions including APIs, workflows, and integrations.
• Assist in building and configuring RAG pipelines, agent workflows, and orchestration layers.
• Execute testing, validation, and basic evaluation of GenAI solutions.
• Monitor system performance and support issue identification and resolution.
• Work with data, APIs, and platform components to ensure smooth system integration.
• Follow practices for safety, governance, and responsible AI implementation.
• Document implementation steps, configurations, and known issues for reuse.
• Collaborate with cross-functional teams for execution tasks.
• Support debugging and troubleshooting in production and non-production environments.

Skills

Python

APIs

GenAI concepts

Problem solving

Communication

Tools

LangChain

LangGraph

Job description

Requisition ID158104-Posted10/19/2026

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