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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agentic AI & MCP Architect - **Company:** Everforth Apex - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Software Design Patterns, Python (Programming Language), Performance Tuning, Software Engineering, Systems Integration, Management of Software Versions, Model-Driven Development, Google Cloud, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Apache Spark, Information Technology, Deployment Automation, Machine Learning Operations, Virtual Agents, Software Version Control, Databricks, Microservices - **Published:** August 20, 2026 - **Apply:** https://www.dice.com/job-detail/89d79bae-b190-4047-a527-fce1aca3d3b0 ## About the Role Education: A Bachelor's degree in computer science, software engineering, or a relevant field is required. Experience: 10+ years of experience is required. Ability to obtain & maintain a Public Trust clearance. Technical Skills: * Strong software engineering background with experience building production-grade applications and services. * Expertise developing agentic AI systems, including planning, tool-use, multi-step reasoning, or autonomous decisioning logic. * Hands-on experience designing and implementing MCP-based integrations, tool interfaces, or model-driven service frameworks. * Ability to translate business requirements into scalable AI-driven solutions. * Proficiency with LLM development practices including fine-tuning, RAG integration, and prompt engineering. * Strong Python development skills and familiarity with distributed compute environments, APIs, and microservices. * Experience integrating agents or LLM-driven components into cloud platforms (Azure, AWS, Google Cloud Platform). * Understanding of LLMOps/MLOps principles including versioning, testing, deployment automation, and monitoring. * Demonstrated ability to lead solution design and mentor developers. * Experience with version control and modern CI/CD practices (e.g., Git/GitHub)., * Experience building multi-agent systems or agent swarms. * Familiarity with advanced tool-calling strategies, including dynamic tool selection or function-call planning. * Experience with structured LLM evaluation methods or agent benchmarking. * Knowledge of performance optimization techniques for LLMs and agents. * Background integrating agentic components with large-scale data platforms (e.g., Databricks, Snowflake, Spark). * Hands-on experience developing innovative POCs in R&D environments. * Familiarity with emerging agentic frameworks such as Strands Agents, LangGraph, or CrewAI. * Exposure to safety-oriented design patterns for autonomous systems. * Experience designing and building secure, compliance-aware systems that handle sensitive data in accordance with HIPAA and federal security standards. * Active or Prior Public Trust level clearance or higher. ## Description The Agentic AI & MCP Specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol (MCP) frameworks. This role focuses on building intelligent, multi-step, tool-using agents that can autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem. This position requires a deeply skilled software developer who combines strong engineering fundamentals with hands-on experience creating agentic systems, working with MCP-based integrations, designing LLM-driven tools, and building secure, scalable AI applications. This position requires that all candidates are eligible to obtain & maintain a Public Trust clearance., * Design and implement agent orchestration frameworks. * Integrate model-driven decision logic and build robust, production-grade agent capabilities. * Provide technical leadership and explore cutting-edge agentic patterns. * Drive proof-of-concept innovation. * Partner with engineering and product teams to translate experimental architectures into real-world impact. ## Related Videos - [Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP](https://www.wearedevelopers.com/videos/1454-beyond-prompting-building-scalable-ai-with-multi-agent-systems-and-mcp) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [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) - [Dev Digest 210: AI Agents Are Go! Is MCP Dead? LLMs Crack Anonymity](https://www.wearedevelopers.com/magazine/709-dev-digest-210-ai-agents-are-go-is-mcp-dead-llms-crack-anonymity) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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)