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Agentic AI Engineer

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OptiSol Business Solutions

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Location:
India , Chennai City Corporation

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for highly skilled Agentic Engineers with strong hands-on experience building production-ready AI agent systems. The ideal candidate should understand not only how to build intelligent agents, but also how to make them reliable, observable, scalable, and valuable for real-world users and business applications. This role focuses on designing advanced AI workflows, orchestrating multi-agent systems, implementing enterprise-grade guardrails, and building scalable Generative AI solutions powered by Large Language Models (LLMs).

Job Responsibility:

  • Build and maintain production-grade AI agent orchestration systems
  • Design intelligent workflows involving tool calling, memory systems, reasoning, and multi-agent collaboration
  • Develop robust prompt pipelines with structured outputs, retries, fallbacks, and evaluation systems
  • Manage orchestration stacks across multiple LLM providers/models with routing and optimization strategies
  • Implement governed AI agents with enterprise-grade guardrails and secure execution patterns
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines and context-aware AI systems
  • Implement observability, monitoring, tracing, and failure-handling mechanisms for AI workflows
  • Improve AI reliability through prompt engineering, structured outputs, evaluation systems, and workflow optimization
  • Optimize latency, token usage, infrastructure cost, and automation efficiency across AI systems
  • Build scalable and maintainable AI workflow architectures for production environments
  • Rapidly prototype and ship AI-powered features with measurable business impact
  • Collaborate with cross-functional teams to translate business problems into AI-driven solutions
  • Improve workflows continuously based on real-world usage, user feedback, and business outcomes
  • Contribute to AI architecture decisions, workflow strategies, and product innovation initiatives

Requirements:

  • 1–2 years of hands-on experience in Generative AI, AI Engineering, or Agentic AI systems
  • Strong Python programming skills with practical backend engineering experience
  • Deep practical experience building with: Large Language Models (LLMs), AI Agents, Context Engineering, Workflow Orchestration Systems, Multi-Agent Architectures
  • Strong understanding of: Prompt Design, Context Management, Tool Calling, Memory Systems, Guardrails, Evaluations & Reliability Engineering
  • Experience with frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or custom orchestration systems
  • Hands-on experience with SQL/NoSQL databases, vector databases, RAG systems, observability platforms, and AI evaluation frameworks
  • Strong product mindset with focus on measurable user value and business outcomes
  • Proven ability to ship quickly, iterate fast, and improve workflows based on real-world usage
  • Track record of improving reliability, reducing latency/cost, or increasing automation efficiency
  • Experience working with coding assistants such as GitHub Copilot, Cursor, Claude Code, and Azure Copilot Studio

Nice to have:

  • Experience deploying AI-powered applications in production environments
  • Exposure to enterprise AI systems, workflow automation, and LLMOps practices
  • Familiarity with AI observability, tracing, and evaluation platforms
  • Strong ownership mindset with ability to execute independently in fast-paced environments
  • Passion for emerging AI technologies and scalable AI architecture design
What we offer:
  • Opportunity to work on cutting-edge AI agent orchestration and Generative AI platforms
  • Hands-on exposure to LLMs, RAG systems, multi-agent architectures, and enterprise AI workflows
  • Collaborative and innovation-driven engineering culture
  • Exposure to real-world AI transformation and automation projects
  • Fast-paced learning environment with strong career growth opportunities
  • Competitive compensation and performance-driven growth path

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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