AI Agent Engineer

Location : Dallas, TX

5 positions

Experience : 10 Years Overall Experience

2+ Years of Hands-on Experience in Agentic AI Development

Job Summary

We are seeking an experienced AI Agent Engineer with expertise in designing, developing, and deploying Agentic AI solutions using modern AI frameworks and orchestration platforms. The ideal candidate will have strong programming skills in Python and hands-on experience building intelligent agents using LangGraph, LangChain, LangCraft, Retrieval-Augmented Generation (RAG/RAG-based workflows), and AI agent frameworks. The candidate should be a strong problem solver capable of developing scalable, production-grade AI applications.

Key Responsibilities

Design, develop, and deploy autonomous and multi-agent AI systems for complex business use cases.

Build intelligent agents using LangGraph, LangChain, LangCraft, and related agent orchestration frameworks.

Develop and optimize RAG (Retrieval-Augmented Generation) solutions integrating enterprise knowledge sources.

Create agent workflows involving planning, reasoning, tool calling, memory management, and human-in-the-loop processes.

Develop scalable AI applications and APIs using Python.

Integrate Large Language Models (LLMs) with enterprise systems, databases, and third-party applications.

Evaluate, monitor, and improve agent performance, reliability, and accuracy.

Collaborate with product, engineering, and business teams to identify and implement AI-driven solutions.

Troubleshoot and resolve complex technical challenges related to AI models and agent architectures.

Follow best practices for AI governance, security, and responsible AI development.

Required Skills

10 years of overall software engineering experience.

2+ years of experience building AI Agents / Agentic AI applications.

Strong proficiency in Python.

Hands-on experience with LangGraph, LangChain, and AI orchestration frameworks.

Experience with RAG architectures, vector databases, embeddings, and knowledge retrieval systems.

Strong understanding of LLMs, prompt engineering, agent planning, memory management, and tool integration.

Experience developing REST APIs and integrating AI services into enterprise applications.

Strong debugging, analytical, and problem-solving skills.

Excellent communication and stakeholder-management abilities.

Feel free to call at Sharma/