We are seeking a highly skilled Generative AI Developer to join the AI Store product team as an embedded AI expert within a squad. This is not a conventional developer role — the ideal candidate will serve as the squad's single point of contact for all things AI and Generative AI: hands-on developer, internal trainer, technical guide, and implementation lead. Working under the guidance of the Generative AI Architect, the developer will translate architectural decisions into production-grade implementations, uplift team capabilities through training and mentorship, and independently drive the development of complex GenAI and Agentic AI features for enterprise-grade solutions. Key Responsibilities • Act as the squad's embedded GenAI expert and single point of contact for all AI/GenAI-related decisions, implementation, and guidance. • Design, develop, and optimize production-grade GenAI and Agentic AI applications, services, and pipelines in Python. • Work under the GenAI Architect to interpret architectural blueprints and implement complex GenAI components, ensuring alignment with enterprise standards. • Integrate Large Language Models (LLMs) — including OpenAI, Azure OpenAI, Hugging Face, Anthropic, and Cohere — into enterprise workflows and products. • Design and implement Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestration systems, and Agentic AI flows. • Build, maintain, and evolve APIs, automation scripts, and AI pipelines on the AIForce platform. • Train and mentor squad members (backend, frontend, full-stack developers) on GenAI concepts, tools, frameworks, and best practices — enabling the broader team to actively contribute to AI feature development. • Conduct LLM performance evaluation, prompt optimization, and model fine-tuning as required. • Champion Safe AI, AI governance,



and responsible AI development practices across the squad. • Monitor, test, and troubleshoot deployed GenAI models and services in production environments. • Stay current with emerging GenAI frameworks, LLM advances, and industry trends; proactively assess and introduce relevant innovations. Required Skills & Qualifications • Solid proficiency in Python (3 years), including experience building production-grade applications. • Proven hands-on experience with Agentic AI and GenAI frameworks: LangChain, LlamaIndex, Hugging Face Transformers, AutoGen, CrewAI, or similar. • Demonstrated experience designing and implementing RAG architectures, vector search pipelines, and multi-agent systems. • Familiarity with LLM APIs: OpenAI, Azure OpenAI, Anthropic, Cohere, and open-source models. • Experience with vector databases (e.g., Pinecone, Weaviate, Azure AI Search, FAISS, Chroma). • Strong knowledge of prompt engineering, chain-of-thought techniques, and LLM evaluation/observability methods. • Understanding of LLM fine-tuning approaches (RLHF, PEFT, LoRA) — practical experience will be added advantage. • Knowledge of Safe AI principles, AI security, AI governance frameworks, and responsible AI development practices. • Hands-on experience with developing AI solutions on any cloud platform • Solid software engineering fundamentals: Git, CI/CD pipelines, automated testing, API design. • Effective communication and mentoring skills — able to explain complex AI concepts to non-AI developers clearly. Nice to Have • Experience with MLOps tooling (MLflow, Azure ML Pipelines, or equivalent). • Exposure to multimodal models (vision-language models, speech-to-text integration). • Prior experience working as an AI champion or tech lead within a cross-functional product team. • Familiarity with enterprise AI governance and compliance frameworks.

📌 GenAI Engineer (Uttar Pradesh)
🏢 HCLTech
📍 Uttar Pradesh