Artificial Intelligence Engineer

Bitontree; Bhadaj; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bitontree in Ahmedabad invites applications for an AI Engineer role focused on agentic AI systems and multi-agent workflows. You will design and implement agentic architectures, develop LLM-powered agents, and orchestrate AI pipelines integrated with RAG and tools, while optimizing costs and ensuring reliability.

The position covers building scalable AI infrastructure, observability, and collaboration with frontend teams (React) for AI-powered applications.

Qualifications

• Strong understanding of Agentic Architecture.
• Hands-on experience building LLM-powered agents.
• Deep knowledge of agent frameworks such as LangGraph, CrewAI, OpenCLAW.

Responsibilities

• Design and implement agentic architectures using LangGraph, Langchain, CrewAI, OpenCLAW or similar.
• Build multi-agent workflows that coordinate tasks and reasoning across tools.
• Develop systems that combine RAG, structured tools, and reasoning chains.
• Build and maintain multi-tenant AI infrastructure for scalable production systems.
• Implement caching strategies for AI calls to optimize performance and cost.
• Design LLM cost optimization strategies across prompts, models, and workflows.
• Build observability and monitoring systems for AI pipelines.
• Implement response evaluation frameworks to measure AI output quality.
• Track and detect system failures, hallucinations, and degradation over time.
• Work with vector databases, RAG pipelines, and context engineering techniques.
• Design scalable agent orchestration pipelines.
• Integrate AI agents with APIs, tools, and external services.
• Work with React-based interfaces for AI-powered applications.
• Provide input on AI product UX/UI design.

Skills

Agentic Architecture

LLM-powered agents

LangGraph

Langchain

CrewAI

OpenCLAW

Orchestration systems

Tools

Vector databases

RAG pipelines

APIs integration

Job description

Designation AI Engineer

Experience 3+ Year

Job Location - Ahmedabad ( work from office)

Job Title

Agentic AI Engineer / AI Systems Engineer

Key Responsibilities

• Design and implement agentic architectures using frameworks such as LangGraph, Langchain, CrewAI, OpenCLAW, or similar.


• Build multi-agent workflows that coordinate tasks and reasoning across different tools.


• Develop systems that combine RAG, structured tools, and reasoning chains.

AI System Engineering

• Build and maintain multi-tenant AI infrastructure for scalable production systems.


• Implement caching strategies for AI calls to optimize performance and cost.


• Design LLM cost optimization strategies across prompts, models, and workflows.

Reliability & Observability

• Build observability and monitoring systems for AI pipelines.


• Implement response evaluation frameworks to measure AI output quality.


• Track and detect system failures, hallucinations, and degradation over time.

AI Infrastructure

• Work with vector databases, RAG pipelines, and context engineering techniques.


• Design scalable agent orchestration pipelines.


• Integrate AI agents with APIs, tools, and external services.

Frontend & Product Collaboration

• Work with React-based interfaces for AI-powered applications.


• Provide input on AI product UX/UI design.


• Collaborate with product and engineering teams to build usable AI systems.

Required Skills

AI Systems & Architecture

• Strong understanding of Agentic Architecture


• Hands-on experience building LLM-powered agents


• Deep knowledge of agent frameworks such as


• LangGraph


• CrewAI


• OpenCLAW


• or similar orchestration systems

LLM Engineering

• Strong understanding of:


• Prompt engineering


• Context engineering


• RAG architectures


• Token and cost optimization

AI System Reliability

Experience with:

• Response evaluation frameworks


• AI observability


• Failure detection systems


• Guardrails and evaluation pipelines

AI/ML Knowledge

• Understanding of Transformers architecture


• Knowledge of LLM behavior, tokenization, and inference

Development Skills

• Python


• API design


• Experience building AI systems in production


• React (basic level for UI collaboration)