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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Propertyvalue Alvarez & Marsal - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $190,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Software as a Service, Code Review, Query Languages, Software Debugging, Graph Database, Python (Programming Language), Metadata, Neo4j, OAuth, Openid Connect, Azure Active Directory, Software Engineering, Systems Integration, Web Application Frameworks, Data Ingestion, Backend, Information Technology, Data Management, Front End Software Development, Network Server, GPT - **Published:** September 25, 2026 - **Apply:** https://www.dice.com/job-detail/7d40a7c7-1e70-482d-9411-e351c7f3d7db ## About the Role * Five or more years of software engineering experience building production applications or data platforms. * Hands-on experience with knowledge graphs, graph data modeling, and graph query languages, ideally Neo4j and Cypher. * Full-stack development experience, with strong Python and back-end skills plus working experience with a modern front-end framework. * Experience designing, building, and consuming APIs and integrating multiple structured and unstructured data sources. * Practical experience with Claude, ChatGPT, or comparable large language model platforms. * Hands-on experience building production agentic pipelines or workflows, including orchestration, tool use, retrieval, state management, evaluation, guardrails, observability, or human oversight. * Working knowledge of the Model Context Protocol, including how MCP servers expose tools and data to AI clients. * Experience working directly with third-party delivery vendors on implementation, technical review, issue resolution, and delivery coordination. * Strong problem-solving, communication, and documentation skills. * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience., * Hands-on experience building MCP servers, agent tools, or custom AI integrations. * Experience with Microsoft Azure services for application hosting, data, search, identity, or AI. * Experience implementing enterprise authentication and authorization using Microsoft Entra ID, OAuth 2.0, OpenID Connect, token scoping, or on-behalf-of flows. ## Description The Senior AI Engineer helps build A&M's Intelligence Layer, a knowledge graph based platform that makes the firm's structured and unstructured knowledge securely available through global and business unit specific search experiences. This hands-on role works with the AI Engineering Lead and Architect, the Product Owner, internal engineering teams, and delivery partners. The team is small, the work is technically demanding, and priorities will move quickly, so this role requires sound judgment, adaptability, and a willingness to contribute wherever the build needs support. This is an opportunity to help build a state-of-the-art AI architecture designed to serve an entire enterprise. Success requires technical curiosity, a forward-looking perspective, and the ability to turn emerging approaches into reliable production capabilities on an ambitious timeline. The Senior AI Engineer will work alongside the implementation partner throughout the initial production build, contribute directly to the architecture, knowledge graph design, ingestion pipelines, retrieval services, and user-facing capabilities, and develop deep working knowledge of the platform. From the outset, this person will help establish internal ownership and assume increasing responsibility for future iterations as the partner engagement concludes. How you will contribute * Build and maintain components of the Intelligence Layer, including ingestion pipelines, knowledge graph models, retrieval services, APIs, and user-facing capabilities. * Develop and optimize graph schemas and queries using Neo4j and Cypher or comparable graph technologies. * Contribute across the stack, with particular strength in back-end and Python development and the ability to support modern front-end development when needed. * Integrate structured data and unstructured content from enterprise systems while preserving source permissions, metadata, and governance requirements. * Build integrations with large language model platforms and apply the Model Context Protocol to make Intelligence Layer capabilities available to approved AI tools. * Build, test, and operate production agentic pipelines, including multi-step orchestration, tool routing, MCP-based tool use, retrieval, state management, evaluation, guardrails, observability, and human-in-the-loop controls. * Work with the Lead and Architect and delivery partners on implementation, testing, debugging, code review, and technical documentation. * Develop secure, maintainable software that meets A&M's requirements for client confidentiality, access control, reliability, and observability. * Communicate risks and blockers early and help the team make practical technical decisions as priorities evolve. First Year Outcomes * Help deliver the initial production iteration of the Intelligence Layer knowledge graphs. * Help deliver reusable agentic pipeline components that support secure, governed workflows across business units and use cases. * Enable global search and business unit specific search across approved structured and unstructured data sources. * Deliver tested ingestion, graph, retrieval, API, and user-interface components that internal teams can operate and extend. * Establish reusable engineering patterns and documentation that support additional business units and data sources. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [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) - [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) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Are Your APIs Ready for AI Agents](https://www.wearedevelopers.com/videos/2004-are-your-apis-ready-for-ai-agents) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [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)