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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer / Lead Developer - Java, Python & Agentic AI - **Company:** Swanktek, Inc - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Databases, Distributed Systems, Memory Management, Graph Database, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MongoDB, Neo4j, Open Source Technology, Search Technologies, Software Engineering, Web Application Frameworks, Google Cloud, Chatbots, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Spring-boot, Generative AI, Backend, Git, Event Driven Architecture, Build Management, AI Platforms, AngularJS, Kubernetes, Cosmos DB, Virtual Agents, Restful APIs, GPT, Automation Anywhere, Docker, Microservices - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/a8ee5c59-355e-4dc2-9376-ae1c93db6769 ## About the Role Technical Skills * 7+ years of software development experience. * Strong expertise in: * Java 11/17+ * Spring Boot * Python * Experience with: * LangChain * LangGraph * CrewAI or AutoGen * Semantic Kernel * Strong understanding of: * Agentic AI * Generative AI * Machine Learning fundamentals * Prompt Engineering * RAG architecture * Experience with Vector Databases: * Pinecone * ChromaDB * Weaviate * Azure AI Search * Cloud experience: * Microsoft Azure (preferred) * AWS or Google Cloud Platform * Knowledge of: * Docker * Kubernetes * CI/CD pipelines * Git Database Skills * SQL Server * PostgreSQL * MongoDB * Cosmos DB, * Experience building multi-agent AI platforms. * Hands-on experience with Azure OpenAI Service. * Familiarity with MCP (Model Context Protocol). * Experience with AI observability, evaluation, and monitoring tools. * Knowledge of graph databases such as Neo4j. * AI certifications in Azure AI, OpenAI, Claude, LangChain, or related technologies. Nice to Have * React.js or Angular experience. * Experience developing AI copilots and intelligent assistants. * Knowledge of event-driven architectures and distributed systems. * Experience in banking, financial services, or enterprise digital transformation projects. Key Competencies * Strong problem-solving and analytical skills. * Excellent communication and stakeholder management. * Ability to lead technical design discussions. * Passion for emerging AI technologies and innovation. * Mentoring and leadership capabilities. ## Description We are seeking a highly skilled Java and Python Developer with hands-on experience in Chat bot, Agentic AI systems, LLM orchestration, and AI-powered application development. The ideal candidate will design, develop, and deploy intelligent AI agents capable of reasoning, planning, tool usage, memory management, and autonomous task execution., You will work closely with architects, product owners, and data scientists to build next-generation AI solutions leveraging Large Language Models (LLMs), Agentic AI frameworks, and enterprise-grade backend systems., * Design and develop scalable applications using Java (Spring Boot) and Python. * Build and deploy ChatBot, Agentic AI solutions using frameworks such as: * LangChain * LangGraph * AutoGen * CrewAI * Semantic Kernel * OpenAI Agents SDK * Develop AI agents with capabilities including: * Planning and reasoning * Multi-agent collaboration * Tool calling and function execution * Memory management * Knowledge retrieval (RAG) * Integrate LLMs such as: * Azure OpenAI * OpenAI GPT Models * Claude * Gemini * Open Source LLMs (Llama, Mistral) * Design and implement REST APIs and microservices using Spring Boot and Python frameworks. * Build Retrieval-Augmented Generation (RAG) solutions using vector databases. * Develop AI workflows using prompt engineering and agent orchestration patterns. * Integrate enterprise data sources, APIs, databases, and third-party systems into AI applications. * Optimize AI agent performance, scalability, security, and cost efficiency. * Participate in architecture reviews, code reviews, and technical mentoring. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)