Integration Engineer – Fullstack Python (AI Agents, LangGraph, Context Engineering) jobs in United States
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Diversity Nexus · 4 months ago

Integration Engineer – Fullstack Python (AI Agents, LangGraph, Context Engineering)

Diversity Nexus is seeking a talented and driven Integration Engineer with a strong fullstack Python background to join their AI solutions team. In this role, you will be responsible for building, integrating, and optimizing intelligent systems leveraging AI agents and advanced context engineering techniques.

Staffing & Recruiting

Responsibilities

Full Stack Development: Design, develop, and maintain end-to-end Python applications that interface with AI agents and backend services, ensuring robust, scalable, and maintainable codebases
AI Agent Integration: Implement and orchestrate autonomous and semi-autonomous AI agents, connecting them with APIs, data sources, and user-facing interfaces
LangGraph Utilization: Leverage the LangGraph framework to construct, visualize, and manage complex conversational flows and agent interactions
Context Engineering: Architect and implement systems for dynamic context management, memory, and prompt engineering to optimize agent behavior and user experience
System Integration: Integrate machine learning models, vector databases, and third-party services, ensuring seamless interoperability across components
Collaboration: Work closely with cross-functional teams to define requirements, propose technical solutions, and drive successful project delivery
Testing & Optimization: Develop automated tests, monitor system performance, and continually refine integration points for reliability and efficiency

Qualification

Fullstack Python developmentAI agent integrationLangGraph frameworkContext engineeringCloud platforms AWSCloud platforms GCPCloud platforms AzureContainerization (Docker)CI/CD pipelinesProblem-solving skillsAttention to detailCollaborative mindset

Required

Proven experience with full stack Python development (FastAPI, Flask, Django, React/Vue/Angular, SQL/NoSQL databases)
Hands-on experience building and integrating AI agents (LLMs, RAG, multi-agent systems) in production environments
Familiarity with the LangGraph framework and agent orchestration patterns
Deep understanding of context engineering, including retrieval-augmented generation, prompt design, and session management
Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines
Strong problem-solving skills, attention to detail, and a collaborative mindset

Preferred

Knowledge of advanced ML model serving, vector search, or knowledge graph integration
Experience with modern front-end frameworks and data visualization tools
Contributions to open-source AI or agent frameworks

Company

Diversity Nexus

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Funding

Current Stage
Growth Stage
Company data provided by crunchbase