Senior Agentic AI Engineer

Senior Agentic AI Engineer

Location: Hyderabad, India (5 days/week onsite)

Experience: 2+ years (Minimum 1 year in Agentic Systems)

Company: Circuitry.ai

About Circuitry.ai

Circuitry.ai is an Enterprise AI SaaS company building advanced AI systems for the U.S. SLM sector.

• Production-grade RAG architectures
• Fine-tuned LLM systems
• Knowledge Graph–driven AI
• Agentic AI frameworks
• Trust-centric AI systems with explainability and evidence

Our mission is to solve the Trust in AI problem for enterprises by combining LLMs, graph retrieval, structured data systems, and rigorous evaluation pipelines.

We build real, production-grade AI systems — not demos.

Role Overview

We are seeking a Senior Agentic AI Engineer with strong hands-on experience designing, building, and deploying agentic systems in production environments.

• Agentic architectures
• Tool-calling systems
• Context engineering
• Decision intelligence
• Agent orchestration

Mandatory Requirements:

Experience

• 2+ years as an ML/AI Engineer
• Minimum 1 year focused specifically on Agentic Systems
• Strong Python skills (mandatory)
• Built and deployed at least one end-to-end agentic system

You must be able to clearly explain:

• System architecture
• Tool orchestration
• Memory design
• Context management
• Failure handling strategies
• Evaluation frameworks
• Design trade-offs

Technical Expertise

Agentic Systems

• Clear understanding of Agents vs. Agentic Workflows
• React patterns
• Tool-calling architectures
• Multi-agent coordination
• Agent decision loops
• Context engineering
• Knowledge of A2A protocols
• Experience with MCP (Model Context Protocol)
• Structured reasoning chains

Framework Experience (At least one required)

• CrewAI
• LangGraph
• Google ADK

Core Capabilities

• Tool calling
• Agent orchestration
• Decision intelligence systems
• Dynamic planning
• State management
• Memory strategies
• Context window optimization

Strong Plus

• RAG experience
• Knowledge Graph experience
• Experience reading and applying research papers
• GenAI experimentation and side projects
• Cloud experience (good to have)
• Open-source contributions or public GitHub projects

What You'll Work On

• Production-grade agentic systems
• Agent + Graph + RAG hybrid reasoning systems
• Tool-calling pipelines
• Enterprise-safe autonomous systems
• Multi-agent coordination architectures

You will build real enterprise AI systems at scale — not experimental demos.

Why This Role Matters

Agentic AI represents the future of enterprise intelligence.

We are building systems that:

• Think
• Plan
• Decide
• Call tools
• Validate results
• Operate safely in enterprise environments

If you are serious about Agentic AI and can demonstrate real systems you've built, we would love to connect.