Lead Agentic AI Engineer

Location: Kochi - BB Arcade
Full Time - Immediate
Job Description: Lead Agentic AI Engineer

About the Role
We are seeking a highly skilled and visionary Lead Agentic AI Engineer
to spearhead the development of our custom AI agent
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 teamincluding Angular
React and 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 modern 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/ 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.

Required Skills:

AIDEEP