Platform Engineer II

Job description

As an Agentic AI Engineer II, you will work as a hands-on developer in the Cloud Native COE, building GenAI and agentic AI components under the guidance of senior architects and technical leads. You will write, test and maintain code for LLM-based agents, tool integrations and RAG pipelines, turn architect-defined designs into working proofs of concept and solution accelerators, and help bring them to production-ready quality. This role suits engineers with 2–3 years of hands-on coding experience in Python and/or Java who want to deepen their skills in GenAI, agentic AI and cloud-native engineering by learning on the job. Key Responsibilities Develop, test and debug agentic AI and GenAI components, such as LLM agents, tool/function calling and RAG pipelines, based on designs provided by architects Design and optimize prompts for different LLMs, and evaluate model outputs to improve accuracy and reliability Integrate LLM APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock) and vector databases with enterprise data sources Build and maintain POCs, demos and reusable code components for customer use cases, including legacy modernization use cases Implement guardrails, logging and monitoring for AI services as directed by the technical lead Deploy and run services on cloud platforms (AWS, Azure or Google Cloud) using the team’s CI/CD pipelines and DevOps tools Prepare technical documentation, code walkthroughs and demo notes for architects and delivery teams Take part in code reviews, sprint ceremonies and internal knowledge-sharing sessions Skill Requirements Programming & frameworks: Hands-on Python and/or Java; working experience with TensorFlow or PyTorch GenAI: Proficiency in GenAI frameworks and libraries such as OpenAI; prompt engineering – designing and optimizing prompts for various AI models to achieve the desired outputs and improve model performance AI/ML: Proficiency in core ML concepts and algorithms; knowledge of deep learning techniques and neural networks; understanding of NLP techniques and tools, including tokenization, embeddings, transformers and language models; knowledge of vector databases and LLMs, and of integrating applications with them Cloud computing: Experience working with cloud services on AWS, Azure or Google Cloud DevOps: Knowledge of DevOps practices and tools (e.g., Git, CI/CD pipelines, Docker) Communication: Strong communication and articulation skills Problem solving: Ability to identify issues and come up with effective solutions Learnability & adaptability: Enthusiasm to learn new technologies; a quick learner who can learn on the job Good to Have: Exposure to agentic AI frameworks such as LangChain, LangGraph, CrewAI or MCP Experience building REST APIs (e.g., FastAPI, Flask or Spring Boot) Working knowledge of SQL and NoSQL databases Other Requirements Team & Client Interaction: Support architects in customer workshops, demos and POC presentations by preparing and running technical demos Explain your work clearly to team members and, when required, to client technical teams Work closely with architects, senior engineers, and data and platform teams to deliver assigned tasks on time and to agreed quality standards Learning & Growth: Stay current with new GenAI, agentic AI and cloud-native tools and frameworks, and share what you learn with the team Pick up new technologies quickly and apply them on the job Experience: 2–3 years of hands-on coding experience in Python and/or Java Working experience with ML/DL frameworks such as TensorFlow or PyTorch Hands-on experience using GenAI frameworks and libraries such as OpenAI, and in designing and optimizing prompts for LLMs Experience working with cloud services on AWS, Azure or Google Cloud Education: Bachelor’s or master’s degree in Engineering, Computer Science, or a related field GenAI or cloud certifications (AWS, Azure, GCP) are an advantage but not mandatory Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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