Lead AI Engineer
Meesho · Bengaluru
- Experience7–11 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted8 Sept 2026
About Meesho
Meesho is hiring in Bengaluru in ecommerce retail. This role looks for around 7+ years of experience.
Skills
- Python
- Machine Learning
- Deep Learning
- Natural Language Processing
- Generative AI
- Large Language Models
- Retrieval-Augmented Generation
- Embeddings
- Vector Databases
- Prompt Engineering
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- LlamaIndex
- AWS
- Google Cloud Platform
- Microsoft Azure
- Docker
- Kubernetes
- CI/CD
- MLOps
- APIs
- Microservices
- Distributed Systems
The role
A generative AI engineer at an e-commerce marketplace develops healthcare AI solutions using Generative AI, natural language processing, and machine learning, building production systems for clinical data and revenue-cycle workflows. The role applies large language models and MLOps to scalable model deployment, evaluation, and monitoring.
Full job description
Responsibilities:
Lead the design and development of LLM, GenAI, NLP, and deep learning solutions for healthcare use cases.
Build and productionize AI models for processing clinical notes, EHR data, medical codes, and other structured/unstructured healthcare data.
Design agentic AI and multi-agent workflows for complex healthcare revenue-cycle use cases.
Develop robust NLP pipelines for clinical text understanding, information extraction, classification, summarisation, and reasoning.
Fine-tune and evaluate LLMs using techniques such as prompt engineering, RAG, PEFT/LoRA, supervised fine-tuning, and model optimisation.
Design scalable inference pipelines with a focus on latency, reliability, accuracy, and cost efficiency.
Build evaluation frameworks to measure model performance, hallucination, factuality, explainability, and safety.
Collaborate with engineering teams to deploy AI models into highly scalable production environments.
Establish best practices around MLOps, model monitoring, experimentation, versioning, and continuous improvement.
Work with large-scale healthcare datasets while maintaining data quality, privacy, security, and compliance requirements.
Mentor AI/ML engineers and contribute to technical architecture and engineering standards.
Stay current with advancements in LLMs, multimodal AI, agentic systems, retrieval systems, and healthcare AI and translate relevant research into production capabilities.
Partner with Product and Clinical teams to convert business and healthcare requirements into scalable AI solutions.
Requirements:
7+ years of experience in AI/ML engineering, applied machine learning, NLP, or related fields.
Strong hands-on programming experience in Python.
Strong understanding of Machine Learning, Deep Learning, NLP, and Generative AI.
Hands-on experience with LLMs such as GPT, Claude, Llama, Mistral, or similar models.
Strong experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation.
Experience building and deploying ML/AI models in production.
Strong experience with PyTorch and/or TensorFlow.
Experience with ML/AI frameworks such as Hugging Face, LangChain, LlamaIndex, or equivalent.
Strong understanding of model evaluation, experimentation, and performance optimisation.
Experience working with AWS/GCP/Azure and cloud-based AI/ML infrastructure.
Strong understanding of APIs, microservices, distributed systems, and production software engineering practices.
Experience with Docker, Kubernetes, CI/CD, and MLOps.
Strong problem-solving and analytical skills.