OptiSol Business Solutions
Website:
optisolbusiness.com
Job details:
Experience: 1–2 Years
Location: Chennai/Madurai/Coimbatore
Work Mode: Hybrid
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).
Key Responsibilities AI Agent Development & Orchestration
- 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.
Reliability, Monitoring & Optimization
- 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.
Product Innovation & Collaboration
- 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.
Required Skills & Experience
- 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.
Preferred Qualifications
- 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.
"This Isn't Just a Career. It's Your Chance to Change the Game."
Click on Apply to know more.