Job Description

We are seeking a Senior Agentic AI Developer with solid Data Engineering

foundations to design, develop, and deploy autonomous AI agent systems for

enterprise-scale use cases. The ideal candidate combines deep expertise in

agentic AI architectures with hands-on experience in data pipelines, LLMs,

and cloud platforms.

Role & responsibilities
Architect and develop autonomous AI agents capable of executing complex

business workflows with minimal human intervention.
Design and maintain ETL/ELT pipelines that process structured and

unstructured data at scale.
Build single-agent and multi-agent systems, incorporating planning,

reasoning, memory management, tool/function calling, and workflow

orchestration.
Integrate AI agents with enterprise systems, internal APIs, and third-party

tools.
Optimize AI applications for performance, scalability, latency, and cost

efficiency.
Implement agent evaluation frameworks, observability tooling, and production

monitoring.
Apply Prompt Engineering, Prompt Optimization, and Prompt Chaining to





improve LLM-driven workflows.
Implement Retrieval-Augmented Generation (RAG) patterns using semantic

search, embeddings, and vector databases.
Ensure LLM reliability through guardrails, hallucination mitigation, and AI

safety best practices.
Own the full delivery lifecycle: architect, develop, test, deploy, and

maintain AI agent solutions from concept to production.
Collaborate with stakeholders across engineering, product, and business

teams within Agile delivery frameworks.

Agentic AI & LLMs

-----------------
Proven experience designing and building agentic AI systems for enterprise

use cases.
Expertise in agentic frameworks such as LangGraph, LangChain, CrewAI,

AutoGen, Semantic Kernel, or equivalent.
Hands-on experience building GenAI applications using OpenAI, Anthropic,

Google Gemini, or open-source LLMs (Llama, Mistral, etc.).
Robust understanding of LLM concepts including

📌 Lead Agentic Ai Engineer Bengaluru
🏢 Smart Soc Solutions
📍 Bengaluru