AI / ML Engineer

Role Summary :

We are building next-generation AI-driven assistants to transform the way professionals learn, buy, and receive support. As the Lead AI / ML Engineer, you will work closely with the CTO and take ownership of the architecture, development, and deployment of LLM-powered solutionsincluding custom model training, RAG pipelines, and multi-agent systems.

This is a full-stack AI role, requiring expertise across LLM engineering, backend APIs, infrastructure, DevOps, and observability. You will play a critical role in ensuring our GenAI stack is production-ready, scalable, and automated to deliver real-world impact.

Key Responsibilities :

• Lead the design, development, and scaling of AI-first features and applications for production use.
• Architect and implement custom LLM training and fine-tuning on proprietary datasets (e.g., SFT, LoRA, PEFT).
• Build and optimize RAG pipelines with vector stores (e.g., Pinecone, FAISS) and embeddings.
• Drive the adoption of LangChain, LangGraph, and prompt engineering best practices.
• Own the end-to-end AI engineering lifecyclefrom model development to infrastructure and app integration.
• Implement cloud-native solutions (AWS ECS, Lambda, Bedrock, S3, IAM) and ensure robust DevOps practices.
• Develop and deploy APIs using FastAPI or Node.js, with CI / CD pipelines (GitHub Actions, AWS

CodePipeline).

(ref : hirist.tech)