Senior AI Engineer

Jobtailor; Gurugram District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Jobtailor is seeking an experienced AI/ML engineer to design and deliver enterprise-grade AI solutions using LLMs and modern frameworks. You will build scalable applications with LangChain, LangGraph, and multi-agent architectures, driving end-to-end development from problem definition to production deployment.

In this role you will collaborate with product, engineering, and data teams, applying RAG, embeddings, and prompt engineering, while optimizing performance, cost, and reliability in

Qualifications

• 4–6 years of experience in AI/ML engineering or related roles.
• Proficient Python programming and scripting.
• Hands-on experience with LLMs, LangChain, LangGraph, and agent frameworks.
• Experience deploying AI solutions on cloud platforms.

Responsibilities

• Design and deliver enterprise-grade AI solutions using LLMs and modern frameworks.
• Build scalable AI applications with LangChain, LangGraph, and multi-agent architectures.
• Lead end-to-end development from problem definition to production deployment.
• Collaborate with cross-functional teams to translate business needs into AI outcomes.
• Develop LLM-based apps using RAG, embeddings, and prompt engineering
• Design production-ready AI pipelines, APIs, and integrations,
• Focus on performance optimization, cost control, and reliability.

Skills

Python Programming

LLM Development

LangChain Experience

LangGraph Experience

MLOps Practices

Cloud Deployment (Azure/AWS/GCP)

Tools

LangGraph

MCP

APIs

Job description

• Design and deliver enterprise-grade AI solutions using LLMs and modern AI frameworks
• Build and optimize applications using LangChain, LangGraph, and multi-agent architectures
• Drive end-to-end development lifecycle from problem definition to production deployment
• Collaborate with cross-functional teams to translate business needs into AI solutions
• Develop and deploy LLM-based applications using RAG, embeddings, and prompt engineering
• Build and manage multi-agent systems and workflows using LangGraph, MCP, or similar frameworks
• Design scalable AI pipelines, APIs, and integrations for production use
• Optimize performance, cost, and reliability of AI systems in production
• Collaborate with product, engineering, and data teams to deliver business impact

Requirements

• 4–6 years of experience in AI/ML engineering or related roles
• Strong Python programming skills (mandatory)
• Experience with LLMs, LangChain, LangGraph, and agent frameworks
• Hands‑on knowledge of multi‑agent systems and MCP (or similar protocols)
• Understanding of RAG, embeddings, prompt engineering, and LLM orchestration
• Experience in deploying AI solutions on cloud platforms (Azure/AWS/GCP)
• Strong communication skills and ability to work with cross‑functional teams
• Experience with MLOps practices, APIs, and production deployments

Core Competencies

Demonstrates expertise in designing and delivering enterprise‑grade AI solutions using LLMs, LangChain, and LangGraph, with a strong focus on optimizing performance and reliability in production environments. Proficient in collaborating with cross‑functional teams to translate business needs into effective AI applications.

Highest-signal resume keywords

• Python Programming
• LLM Development
• LangChain Experience
• MLOps Practices
• Cloud Deployment (Azure/AWS/GCP)

Hard Skills

• AI Solution Design
• Multi‑Agent Systems
• RAG
• Embeddings
• Prompt Engineering
• API Development
• Production Deployment
• Performance Optimization
• Scalable AI Pipelines
• End‑to‑End Development Lifecycle

Soft Skills

• Strong Communication
• Collaboration

Industry Keywords

• AI/ML Engineering
• Cross‑Functional Teams
• Business Impact

Tools & Technologies

• LangGraph
• MCP
• AI Frameworks
• Cloud Platforms