Integration Engineer – Fullstack Python (AI Agents, LangGraph, Context Engineering)
Integration Engineer – Fullstack Python (AI Agents, LangGraph, Context Engineering)
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Job Description
Job Description:
We are seeking a talented Integration Engineer with fullstack Python expertise to build integrate and optimize intelligent systems leveraging AI agents LangGraph and context engineering. The engineer will collaborate across teams to deliver scalable adaptive AI-driven solutions.
Roles and Responsibilities:
Design and maintain end-to-end Python apps interfacing with AI agents and services.
Implement and orchestrate AI agents integrated with APIs and data sources.
Use LangGraph to build and manage conversational flows and agent interactions.
Architect context management systems (memory RAG prompt optimization).
Integrate ML models vector databases and third-party services.
Collaborate with ML engineers scientists and product teams.
Develop automated tests and optimize system performance.
Required Skills:
Proven fullstack Python (FastAPI Flask Django React/Vue/Angular SQL/NoSQL).
Hands-on AI agent integration (LLMs RAG multi-agent systems).
Familiarity with LangGraph and orchestration patterns.
Strong knowledge of context engineering (RAG prompt design session management).
Experience with cloud (AWS/GCP/Azure) Docker CI/CD pipelines.
Strong collaboration and problem-solving skills.
Preferred:
Knowledge of ML model serving vector search knowledge graphs.
Experience with modern front-end frameworks & data visualization.
Open-source AI/agent framework contributions.
Employment Type
Full-time
