Backend/Agent Engineer – Python, AI Agents,

Backend/Agent Engineer – Python, AI Agents, LangGraph, MCP

Day 1 Onsite (Seattle, WA & Dallas, TX & Atlanta, GA)

12+ months contract

 

Local from Dallas, TX, Atlanta, GA 

FACE TO FACE ROUND 

 

Position Overview:

We are seeking an experienced Backend/Agent Engineer to join our team, specializing in designing, developing, and maintaining robust backend systems for AI-driven agent platforms. In this role, you will focus on architecting scalable, reliable backend services and integrating advanced AI agents using Python and frameworks like LangGraph and MCP (Model Composition/Coordination Platform). You will work closely with multidisciplinary teams to deliver intelligent, context-aware solutions that power real-world applications.

 

Key Responsibilities:

• Backend System Development:
Architect, implement, and maintain scalable backend services and APIs using Python (FastAPI, Flask, Django) to support AI agent operations.

• AI Agent & MCP Integration:
Develop, deploy, and orchestrate autonomous AI agents, and leverage MCP to coordinate multiple AI models and agent workflows, ensuring seamless interoperability and orchestration.

• Agent Orchestration & Workflow:
Utilize frameworks like LangGraph and MCP to design, compose, and manage complex agent workflows, multi-agent coordination, and state management.

• System Integration:
Integrate external data sources, third-party APIs, vector databases, and machine learning models to enhance agent capabilities.

• Performance & Reliability:
Optimize system performance, ensure high availability, and implement robust logging, monitoring, and error-handling solutions.

• Collaboration:
Work cross-functionally with front-end developers, data scientists, and product teams to translate requirements into technical designs and deliverables.

• Security & Compliance:
Implement best practices for data security, privacy, and compliance in all backend operations.

Required Skills & Qualifications:

• Strong experience with backend Python frameworks (FastAPI, Flask, Django), RESTful API design, and database management (SQL/NoSQL).

• Proven expertise in integrating and orchestrating AI agents, LLMs, or multi-agent systems in production environments.

• Hands-on experience with MCP (Model Composition/Coordination Platform) for coordinating and managing AI models and agent workflows.

• Familiarity with agent workflow orchestration tools such as LangGraph.

• Experience with containerization (Docker), CI/CD pipelines, and cloud infrastructure (AWS, GCP, Azure).

• Knowledge of vector databases, data pipelines, and scalable distributed systems.

• Excellent problem-solving abilities, attention to detail, and communication skills.

 

Preferred:

• Background in designing backend architectures for AI or data-intensive applications.

• Experience with knowledge graphs, RAG pipelines, or advanced agent coordination.

• Open-source contributions or experience with modern agent/LLM frameworks, MCP, or similar platforms.

 

 

 

--

Regards,

Back 2 Back Contract Requirements !!

himanshu.recruitment1@gmail.com

linkedin.com/in/himanshu-kashyap-91563116b

Himanshu Kashyap

--
You received this message because you are subscribed to the Google Groups "HimanshuDailyRequirements" group.
To unsubscribe from this group and stop receiving emails from it, send an email to himanshudailyrequirements+unsubscribe@googlegroups.com.
To view this discussion, visit https://groups.google.com/d/msgid/himanshudailyrequirements/CAFEc0pVb1niO8p%2BNmveZMqvoARxjG%2B1uVx3D5maKhwZ362jK-A%40mail.gmail.com.