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 Secure AI, AI governance, and responsible AI development practices across the squad.
- Monitor, test, and troubleshoot deployed GenAI models and services in production environments.
- Stay
📌 Hiring: Genai Engineer (India)
🏢 HCLTech
📍 India