Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities.                                                 By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones. Kentro is hiring a Senior AI Agentic Software Developer with deep experience designing, building, and deploying agent-based AI systems in regulated, security-constrained environments. This role goes beyond prompt engineering, you will architect context-aware, tool-using AI agents that operate reliably within Government Community Cloud High (GCCH) and federally compliant environments.  You will work at the intersection of LLM orchestration, contextual engineering, secure data access, and cloud-native software development, translating mission and business requirements into production-grade AI systems.  Responsibilities: Agentic AI & Contextual Engineering  - Design and implement multi-step, agentic AI workflows (planner/executor, tool-using agents, RAG + memory patterns)  - Engineer robust contextual pipelines including:  - Retrieval-augmented generation (RAG)  - Structured memory (short-term, long-term, episodic)  - Tool invocation and function calling  - Control hallucination, drift, and overreach through grounding, validation, policy constraints, and ensemble methods.  - Optimize context windows, token usage, and latency under federal cost, platform quotas, and performance constraints.  Secure Software Development  - Build production-grade services using Python, Java, C++, Rust, GO, C#, TypeScript  - Implement APIs and microservices that integrate AI agents with:  - Data lake house  - SharePoint  - Microsoft Graph API   - Line-of-business systems  - Apply secure coding practices aligned with NIST 800-53 / 800-171   Azure GCCH and Federally Compliant Architecture   - Design and deploy solutions in GCCH environments  - Work within constraints such as:  - Limited model availability  - Restricted outbound network access  - Controlled identity and authentication flows  - Use Azure services including:  - Azure AI (OpenAI / Foundry where applicable)  - Azure Kubernetes Service (AKS)  - Azure Functions / App Services  - Azure Data Lake Storage  - Azure Key Vault  - Implement identity, RBAC, and managed identities aligned with federal requirements   Compliance, Governance, and Safety  - Design AI systems with auditability, traceability, and explainability  - Support Authority to Operate (ATO) processes  - Implement logging, monitoring, and human-in-the-loop controls  - Ensure data residency, data minimization, and model usage compliance  Location: This position can be performed remotely within the United States and will support Eastern Time working hours. Travel may be required.

• Lead the development across teams that own core geospatial products and internal data-processing and annotation tools at Overstory. • Set a technical vision for the development of the web applications, ETL pipelines, and backend services owned by these teams. • Mentor other engineers to follow good practices regarding software development, system design, team processes, QA and project management. • Involved in other teams’ projects to leverage or enable their own products by giving them access to timely and quality data. • Occasionally meet with customers to understand their technical needs regarding prospective features. • Start off being primarily team scoped solving critical scaling challenges with scope to expand remit as we grow.

• Design, build, and enhance features across multiple Gateway Portal applications used by NMI staff, partners, and merchants • Develop and maintain front-end and back-end functionality using technologies such as PHP, C#, JavaScript, React, and Angular • Develop and maintain MySQL queries aligned with best practices for performance and scalability • Write unit, integration, and end-to-end tests to ensure code quality and reliability • Document business logic, application workflows, and technical design decisions • Collaborate with Product Managers to refine requirements and contribute to technical solution design • Participate in code reviews to maintain high engineering standards and share best practices • Work with Site Reliability Engineering and QA teams to ensure software is observable, resilient, secure, and production-ready • Diagnose and resolve incidents, defects, and performance bottlenecks in collaboration with cross- functional teams • Contribute to continuous improvement of development processes, tooling, and engineering practices

• Design and evolve platform infrastructure that supports frontend observability products across DEM, including RUM, session replay, feature flags, and product analytics. • Build and scale data pipelines and reducers using technologies such as Kafka and Redis to ingest, transform, and serve real-time user experience data. • Partner with SDK, FE and OpenTelemetry contributors to support a growing number of data platforms and open standards in frontend instrumentation. • Guide cross-functional collaboration by identifying shared patterns and unifying backend infrastructure across multiple product lines. • Solve ambiguous, high-impact technical problems by applying deep systems knowledge and delivering clear architectural direction. • Serve as a technical leader and mentor within the RUM organization and broader engineering community at Datadog.