Mandatory/Required SkillsStrong hands-on experience in Generative AI / LLM Engineering.Expertise in building Agentic AI systems using LangGraph, LangChain, CrewAI, or AutoGen.Experience with RAG / Graph-RAG architectures and vector databases (Pinecone, pgvector, OpenSearch, Neo4j, etc.).Strong Python backend development skills with FastAPI, async programming, APIs, and inference services.Hands-on experience with OpenAI, Anthropic, Gemini, Hugging Face, or similar LLM ecosystems.Experience in prompt engineering, fine-tuning, LoRA/PEFT, embeddings, semantic search, and agent memory frameworks.Strong cloud exposure in AWS/Azure/GCP with MLOps/LLMOps tools like MLflow.Experience working on production-scale AI/ML applications.Good understanding of Deep Learning frameworks such as PyTorch or TensorFlow.Strong communication and stakeholder management skills.Good to Have SkillsMultimodal AI experience (text, image, audio, graph-based AI systems).Experience with Graph-RAG and Knowledge Graphs.Exposure to Responsible AI / AI Governance frameworks.Experience with Databricks, Bedrock, Vertex AI, Azure OpenAI.Traditional ML/statistical modeling knowledge.Experience leading teams or architecting enterprise AI platforms.
Mandatory/Required SkillsStrong hands-on experience in Generative AI / LLM Engineering.Expertise in building Agentic AI systems using LangGraph, LangChain, CrewAI, or AutoGen.Experience with RAG / Graph-RAG architectures and vector databases (Pinecone, pgvector, OpenSearch, Neo4j, etc.).Strong Python backend development skills with FastAPI, async programming, APIs, and inference services.Hands-on experience with OpenAI, Anthropic, Gemini, Hugging Face, or similar LLM ecosystems.Experience in prompt engineering, fine-tuning, LoRA/PEFT, embeddings, semantic search, and agent memory frameworks.Strong cloud exposure in AWS/Azure/GCP with MLOps/LLMOps tools like MLflow.Experience working on production-scale AI/ML applications.Good understanding of Deep Learning frameworks such as PyTorch or TensorFlow.Strong communication and stakeholder management skills.Good to Have SkillsMultimodal AI experience (text, image, audio, graph-based AI systems).Experience with Graph-RAG and Knowledge Graphs.Exposure to Responsible AI / AI Governance frameworks.Experience with Databricks, Bedrock, Vertex AI, Azure OpenAI.Traditional ML/statistical modeling knowledge.Experience leading teams or architecting enterprise AI platforms.
Mandatory/Required SkillsStrong hands-on experience in Generative AI / LLM Engineering.Expertise in building Agentic AI systems using LangGraph, LangChain, CrewAI, or AutoGen.Experience with RAG / Graph-RAG architectures and vector databases (Pinecone, pgvector, OpenSearch, Neo4j, etc.).Strong Python backend development skills with FastAPI, async programming, APIs, and inference services.Hands-on experience with OpenAI, Anthropic, Gemini, Hugging Face, or similar LLM ecosystems.Experience in prompt engineering, fine-tuning, LoRA/PEFT, embeddings, semantic search, and agent memory frameworks.Strong cloud exposure in AWS/Azure/GCP with MLOps/LLMOps tools like MLflow.Experience working on production-scale AI/ML applications.Good understanding of Deep Learning frameworks such as PyTorch or TensorFlow.Strong communication and stakeholder management skills.Good to Have SkillsMultimodal AI experience (text, image, audio, graph-based AI systems).Experience with Graph-RAG and Knowledge Graphs.Exposure to Responsible AI / AI Governance frameworks.Experience with Databricks, Bedrock, Vertex AI, Azure OpenAI.Traditional ML/statistical modeling knowledge.Experience leading teams or architecting enterprise AI platforms.
Mandatory/Required SkillsStrong hands-on experience in Generative AI / LLM Engineering.Expertise in building Agentic AI systems using LangGraph, LangChain, CrewAI, or AutoGen.Experience with RAG / Graph-RAG architectures and vector databases (Pinecone, pgvector, OpenSearch, Neo4j, etc.).Strong Python backend development skills with FastAPI, async programming, APIs, and inference services.Hands-on experience with OpenAI, Anthropic, Gemini, Hugging Face, or similar LLM ecosystems.Experience in prompt engineering, fine-tuning, LoRA/PEFT, embeddings, semantic search, and agent memory frameworks.Strong cloud exposure in AWS/Azure/GCP with MLOps/LLMOps tools like MLflow.Experience working on production-scale AI/ML applications.Good understanding of Deep Learning frameworks such as PyTorch or TensorFlow.Strong communication and stakeholder management skills.Good to Have SkillsMultimodal AI experience (text, image, audio, graph-based AI systems).Experience with Graph-RAG and Knowledge Graphs.Exposure to Responsible AI / AI Governance frameworks.Experience with Databricks, Bedrock, Vertex AI, Azure OpenAI.Traditional ML/statistical modeling knowledge.Experience leading teams or architecting enterprise AI platforms.
HCLTech is a global technology company, home to more than 226,600 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 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
