Job Title: AI Engineer

Experience: 4-5 Years
Location: Seawoods, Navi Mumbai - Work From Office
Employment Type: 6+ month(extendable ) Contract

Role Overview

We are seeking a hands-on AI Engineer with 4-5 years of experience in building and deploying production-grade Agentic AI and Large Language Model (LLM) solutions.

The ideal candidate will have strong experience with LangGraph, multi-agent architectures, AI orchestration, LLM applications, APIs, enterprise integrations, and production deployment. The role involves designing stateful AI agents capable of reasoning, planning, decision-making, and executing complex business workflows.

Key Responsibilities

- Design, develop, and deploy production-grade Agentic AI systems powered by Large Language Models (LLMs).
- Build scalable multi-agent architectures using LangGraph and related AI orchestration frameworks.
- Develop stateful AI agents capable of reasoning, planning, decision-making, and autonomous task execution.
- Implement agent orchestration patterns such as:
- Planner-Executor
- Supervisor-Worker
- Hierarchical Agent architectures

- Integrate AI agents with REST APIs, enterprise applications, databases, third-party tools, and external services.
- Develop reasoning pipelines, prompt workflows, tool-calling mechanisms, and execution frameworks for enterprise AI applications.
- Build reliable and scalable AI workflows that can handle complex business processes.
- Optimize agent performance, latency, scalability, reliability, and resource utilization.
- Implement observability, logging, monitoring, and evaluation mechanisms for AI agents.
- Support deployment and maintenance of AI systems across cloud and hybrid environments.
- Implement appropriate AI governance, security, and responsible AI practices.
- Troubleshoot production issues and continuously improve AI applications.
- Prepare technical documentation covering architecture, workflows,



integrations, and deployment processes.
- Collaborate with engineering, product, and business teams to translate requirements into scalable AI solutions.

Required Skills Qualifications

- 4-5 years of experience in AI/ML Engineering, Generative AI, or related fields.
- Strong hands-on experience developing LLM-powered applications and Agentic AI systems.
- Strong experience with LangGraph and multi-agent orchestration.
- Experience designing stateful AI agents with reasoning, planning, and decision-making capabilities.
- Solid understanding of LLM concepts, prompt engineering, tool calling, and agent workflows.
- Experience implementing Planner-Executor, Supervisor-Worker, or Hierarchical Agent patterns.
- Strong programming skills in Python.
- Experience integrating AI applications with APIs, databases, enterprise systems, and external tools.
- Experience with REST APIs and enterprise application integrations.
- Understanding of AI application deployment and productionization.
- Experience with monitoring, observability, debugging, and performance optimization of AI systems.
- Knowledge of cloud platforms and hybrid deployment environments.
- Strong problem-solving and analytical skills.

Preferred Skills

- Experience with LangChain or other LLM orchestration frameworks.
- Experience with vector databases and Retrieval-Augmented Generation (RAG).
- Knowledge of LLM evaluation and agent performance benchmarking.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Experience working with AWS, Azure, or GCP.
- Familiarity with AI governance, security, and responsible AI practices.
- Experience building enterprise-grade Generative AI applications.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 AI Engineer (Mumbai)
🏢 KOOE
📍 Mumbai