Lead AI/ML Engineer

LeadSquared; Bengaluru; Vor Ort; INR 2.500.000 - 4.500.000; Vollzeit

Zusammenfassung

LeadSquared in Bengaluru seeks a hands-on Lead AI/ML Engineer to design, build and ship production AI systems, from agentic LLM applications to classical ML models. You will own solutions end to end, guide a small team, and turn business problems into reliable AI products.

You will design agentic AI systems with LangChain and LangGraph, manage RAG pipelines, train and deploy models with PyTorch/TensorFlow, and expose APIs on cloud with MLOps best practices.

Qualifikationen

• 4–6 years of overall experience, incl. 1–2 years building LLM/GenAI apps.
• Hands-on with Agentic AI, LangChain, LangGraph and RAG.
• Experience with vector databases and model evaluation.

Aufgaben

• Design and ship production AI systems from LLM apps to classical ML models.
• Lead and mentor ML/AI engineers, review code and designs.
• Expose models as APIs and deploy on cloud with MLOps practices.
• Architect and optimise RAG pipelines: embeddings, vector search, re-ranking.
• Collaborate with product and business teams to turn problems into AI products.

Kenntnisse

Agentic AI

LangChain

LangGraph

RAG

PyTorch

TensorFlow

scikit-learn

Statistics

Model evaluation

Cloud platforms

Ausbildung

Bachelor's or Master's in CS/AI/Data Science

Tools

Pinecone

Weaviate

Qdrant

Milvus

Chroma

FAISS

Git

Docker

AWS

Azure

GCP

Jobbeschreibung

About the role

We are hiring a hands-on Lead AI/ML Engineer to design, build and ship production AI systems, from agentic LLM applications to classical ML models. You will own solutions end to end, guide a small team, and turn business problems into reliable AI products.

Key responsibilities

• Design and build agentic AI systems with planning, tool calling, memory and multi-agent workflows using LangChain and LangGraph.
• Architect and optimise RAG pipelines: chunking, embeddings, vector search, re-ranking and evaluation.
• Build, train and deploy traditional ML and deep learning models with scikit-learn, PyTorch and TensorFlow.
• Write production-grade Python, expose models as APIs, and deploy on cloud with MLOps best practices.
• Lead and mentor ML/AI engineers, review code and designs, and partner with product and business teams.

Required skills

• 4–6 years of overall experience, including at least 1–2 years building LLM or GenAI applications.
• Hands-on experience with Agentic AI, LangChain, LangGraph and RAG.
• Practical experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, Chroma or FAISS.
• Strong traditional ML skills with scikit-learn, PyTorch and TensorFlow, plus solid statistics and model evaluation.
• Working knowledge of Git, Docker and a cloud platform (AWS, Azure or GCP).
• Bachelor's or master's degree in computer science, AI, Data Science or a related field.

Nice to have

• LLM fine-tuning (LoRA/QLoRA), LLM evaluation tools (LangSmith, Ragas) and MLOps tools (MLflow, SageMaker).