About the Role

We are seeking a highly skilled and visionary Lead Agentic AI Engineer to spearhead the development of our custom AI agent capabilities. In this role, you will architect, build, and scale autonomous and multi-agent systems that solve complex problems for our internal operations and external client projects.

You will not be working in a silo. You will be supported by a robust, cross-functional engineering team—including Full-Stack .NET, Angular, React, and Node.js developers, Database Engineers, Software Architects, Frontend Designers, Flutter Mobile App Developers, and other AI Engineers. Your primary focus will be designing the "brain" and orchestration layers of our AI systems, ensuring they are scalable, trainable, and easily cloneable across multiple distinct projects.

Key Responsibilities

- Architect Multi-Agent Systems: Design and implement scalable agentic workflows using contemporary frameworks (e.g., LangGraph, CrewAI, AutoGen) that allow multiple AI agents to collaborate, reason, and execute complex tasks.
- Develop Reusable AI Assets: Build a foundational agent architecture that can be cloned, fine-tuned, and deployed across various client projects with minimal friction, ensuring long-term ROI.
- Integrate Tools & APIs: Utilize protocols like the Model Context Protocol (MCP) to seamlessly connect agents to external tools, databases, and enterprise APIs.
- Cross-Functional Leadership: Collaborate closely with our existing software architects, full-stack developers, and mobile engineers to integrate agentic capabilities into our web and mobile applications.
- Evaluate & Optimize: Implement robust observability, tracing, and evaluation frameworks to monitor agent performance, handle hallucinations, and resolve multi-agent conflicts in production environments.
- Continuous Learning: Stay at the bleeding edge of LLM advancements, RAG techniques,



and agentic frameworks to ensure our solutions remain state-of-the-art.

Required Skills Matrix

Skill Category

Required Expertise

Preferred / Bonus

Agentic Frameworks

Deep experience with LangGraph, CrewAI, or AutoGen for orchestrating multi-agent workflows.

Experience with OpenAgents, MetaGPT, or custom orchestration engines.

LLMs & Prompt Engineering

Advanced prompt engineering, function calling/tool use, and experience with OpenAI, Anthropic, or open-source models (Llama, Qwen).

Fine-tuning LLMs for specific agentic behaviors.

System Architecture

Designing stateful, scalable, and asynchronous AI systems. Experience with vector databases (Pinecone, Weaviate, Milvus).

Familiarity with Model Context Protocol (MCP) for standardized tool integration.

Programming Languages

Expert-level Python.

Familiarity with TypeScript/Node.js or C#/.NET to interface with our existing teams.

Production AI & MLOps

Implementing observability, tracing (e.g., LangSmith, Phoenix), and continuous evaluation for AI agents.

Experience deploying agents in containerized environments (Docker, Kubernetes).

Collaboration

Ability to translate complex AI concepts into actionable tasks for traditional software engineering teams.

Previous experience leading an AI initiative from zero to production.

Why Join Us?

- Massive Leverage: You will have an entire army of skilled developers (.NET, React, Flutter, etc.) ready to build the infrastructure and UIs around your AI engines.
- High Impact: Your work will directly shape the future of our product offerings and client deliverables.
- Innovation-First: We prioritize scalable, long-term solutions over quick hacks. You will have the resources to build things the right way.

How to Apply

Please submit your resume along with a portfolio or GitHub link showcasing any agentic AI projects, multi-agent systems, or complex LLM integrations you have built.

📌 Lead Agentic AI Engineer (Kozhikode)
🏢 Cydez Technologies
📍 Kozhikode