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Lead AI Engineer

IndiGo

Gurugram

8+ years

Today

$65.1K–80.7K/yr

Full time

Onsite

Skills Required

LLM

RAG

Prompt Engineering

Azure OpenAI

OpenAI APIs

Hugging Face

LangChain

LlamaIndex

LLMOps

agents

MLOps

Semantic Kernel

Azure AI Search

Pinecone

Weaviate

Description

IndiGo is hiring a hands-on Lead Engineer - AI to design, build, and deliver scalable AI-powered applications and platforms. The role combines technical leadership, hands-on development, and mentoring across GenAI, MLOps, and cloud-native delivery.

Company: IndiGo

Role: Lead AI Engineer

Location: Gurgaon

Experience

8+ years of software engineering experience
Experience in a technical leadership role
Strong hands-on experience with Python and backend/API development
Practical experience building AI/GenAI solutions using LLMs, RAG, embeddings, vector databases, prompt engineering, and agents
Experience with MLOps/LLMOps concepts including model evaluation, versioning, monitoring, drift detection, feedback loops, and automated testing




Strong knowledge of REST APIs, microservices, cloud platforms, CI/CD, Docker, Kubernetes/OpenShift, and observability
Understanding of AI security, privacy, hallucination mitigation, prompt injection risks, access controls, and responsible AI principles
Strong problem-solving, stakeholder management, mentoring, and communication skills

Responsibilities

Lead the design and development of AI/GenAI applications, LLM-powered workflows, agents, copilots, and intelligent automation solutions
Build production-grade solutions using Python, APIs, LLMs, vector databases, RAG pipelines, embeddings, and orchestration frameworks
Design and implement Retrieval-Augmented Generation, prompt engineering, function calling, tool use, context management, and evaluation workflows
Integrate AI capabilities with enterprise applications, APIs, databases, event-driven platforms, and business workflows
Define architecture patterns for AI solutio

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