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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Developer with AI - **Company:** Euclid Innovations - **Location:** Charlotte, NC, United States - **Experience:** Experienced - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Distributed Systems, Graph Database, Identity and Access Management, Python (Programming Language), Neo4j, OAuth, Queueing Systems, RabbitMQ, Role-Based Access Control, Redis, Service-Oriented Architecture, Software Engineering, Data Streaming, ZeroMQ (Concurrent Programming Libraries), Data Logging, Data Processing, Enterprise Software Applications, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Event Driven Architecture, Containerization, Kubernetes, Apache Kafka, Virtual Agents, Dynatrace, Automation Anywhere, Docker, Microservices - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8431e07409363762 ## About the Role * 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, or education * 2+ years of hands-on experience building and deploying generative AI or agentic AI systems in production environments * Strong proficiency in Python; experience designing and consuming REST and/or gRPC APIs * Demonstrated experience with LLM integration, prompt engineering, and tool-use patterns in multi-step AI workflows * Experience with at least one agentic AI framework (e.g., LangGraph, AutoGen, CrewAI, OpenAI Swarm, Google ADK, or Claude Agent SDK) * Solid understanding of distributed systems, event-driven architecture, and microservices design * Experience with cloud-native infrastructure and containerized deployments (Docker, Kubernetes) * Strong written and verbal communication skills with the ability to document technical designs, present to stakeholders, and produce clear operational artifacts Desired Qualifications * Hands-on experience building production agentic AI systems using one or more frameworks such as OpenAI Swarm, AutoGen, CrewAI, LangGraph, Google ADK, or Claude Agent SDK * Experience implementing Model Context Protocol (MCP) integrations for tool use, context management, and agent-to-agent communication * Experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines for knowledge-grounded AI applications * Proficiency with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, Redis Vector DB, or FAISS * Experience with graph databases, particularly Neo4j, for relationship-aware data modeling and querying * Hands-on experience with distributed observability and self-healing systems - instrumenting services, detecting anomalies, and triggering automated remediation * Experience with OpenTelemetry for distributed tracing, metrics, and logging across multi-service architectures * Experience with event streaming platforms such as Kafka and message queue systems such as RabbitMQ, ZeroMQ, or Redis MQ * Proficiency in Python (5+ years); REST and/or gRPC; event-driven design patterns * Experience with identity and access management (OAuth scopes, RBAC/ABAC) and sensitive data handling for enterprise applications ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)