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# AI System Engineer

- **Company:** INNOVATIVE CONSULTING
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, Data Visualization, Distributed Systems, Django Web Framework, Graph Database, Information Retrieval, Python (Programming Language), NoSQL, Open Source Technology, OpenAI, Search Technologies, SQL Databases, Workflow Management Systems, Google Cloud, Retrieval-Augmented Generation, Flask (Web Framework), Open-source Models, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Fastapi, Containerization, Machine Learning Operations, Front End Software Development, GPT, Docker
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/0b78af54-0242-4cb4-8aaf-788d583579fe/ai-system-engineer

## About the Role

We are seeking versatile and highly skilled AI Systems Engineer with deep expertise in Fullstack Python development, intelligent agent orchestration, and advanced context engineering. This role is central to building next-generation AI-powered applications that leverage large language models (LLMs), multi-agent workflows, and dynamic context management. You will architect and integrate scalable systems using frameworks like LangGraph and MCP, while collaborating across disciplines to deliver adaptive, intelligent solutions., 1. Strong experience with Fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).

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 2. Proven expertise in prompt engineering and context-aware LLM integration (OpenAI, Anthropic, open-source models).

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 3. Hands-on experience with LangGraph and MCP for agent orchestration and workflow design.

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 4. Familiarity with vector search, RAG pipelines, and session/context management strategies.

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 5. Experience integrating AI agents into production systems with cloud infrastructure (AWS, GCP, Azure).

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 6. Proficiency with containerization (Docker), CI/CD pipelines, and scalable distributed systems.

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 7. Excellent problem-solving, communication, and collaboration skills., n

 1. Background in information retrieval, knowledge graphs, or search systems.

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 2. Experience with front-end development and data visualization tools.

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 3. Contributions to open-source AI, agent, or LLM frameworks.

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 4. Familiarity with advanced ML model serving and orchestration platforms