AI Engineer

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.
• Strong 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.

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