• Help expand the Kraken platform by building new backend capabilities and shared primitives. • Collaborate with senior leadership and cross-functional partners to design and deliver new backend capabilities. • Own end-to-end technical design from protocol and service boundaries through production deployment. • Leverage modern AI tooling to accelerate development velocity while maintaining engineering rigor.

• Own CRM data hygiene and maintain high-quality contact and account data. • Audit and optimise CRM properties, lifecycle stages, and deduplication processes. • Build and maintain scalable enrichment workflows in Clay. • Run enrichment waterfalls (email, phone, LinkedIn, firmographics). • Manage scraping workflows using Bright Data and Apollo exports. • Prepare outbound lists and ensure they are campaign-ready with low bounce rates. • Reduce duplicate and stale records across CRM and data sources. • Implement and manage email validation workflows. • Maintain reporting on list health, data completeness, and coverage metrics. • Document workflows and create repeatable, scalable processes. • Run light scripts or technical executions where needed.

Role Description As a Full Stack Software Engineer, you will help build the real-time Command & Control platform that enables operators to plan, coordinate, and execute missions across large distributed aircraft networks. This role blends complex frontend architecture with distributed backend systems. You’ll work on high-performance, real-time software used in operational environments where reliability and clarity matter. - Architect and build frontend systems for a real-time Command & Control platform - Develop distributed, collaborative infrastructure for managing large numbers of autonomous systems with intermittent connectivity - Design and implement new UI paradigms for visualizing telemetry, sensor data, scheduling, resource allocation, and data link management - Own full-stack features from system design through deployment - Ship early and often with strong CI/CD, QA, and DevSecOps practices Qualifications - Degree in Computer Science (or equivalent experience) - 4+ years building complex full-stack applications with meaningful frontend and backend ownership - Strong experience building web applications using React (or similar frameworks) - Understanding of UI/UX principles and ability to build intuitive, high-signal interfaces Requirements - Due to the nature of the work and export regulations, candidates must be U.S. citizens or otherwise authorized to work on U.S. government-controlled technologies. - Background verification required prior to employment. Strong Pluses - Experience building performance-sensitive applications - Background in simulation, gaming, or real-time UI systems (immediate vs retained mode UIs) - Familiarity with video streaming protocols - Experience with WebGL / OpenGL - Working knowledge of C++ - Experience building geospatial or mapping applications Compensation - $195,000 – $250,000 base salary + equity

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.