• Architect and build AI-powered systems that power our entire GTM motion • Own the technology stack, partner with stakeholders to define workflows • Deploy AI agents and apps • Continuously improve how the company acquires, activates, and grows customers • Turn GTM from a set of tools into a cohesive, intelligent system • Scale workflows without scaling headcount • Improve signal quality and timing for marketing and sales • Increase learning velocity across the entire funnel • Shape how an open-source, bottom-up product grows into enterprise adoption • Design, build, and maintain AI systems across marketing, PLG, sales, and post-signup activation • Own integrations and workflows across tools like CRM, marketing automation, product analytics, data warehouse, enrichment tools, and internal services • Build internal tools and lightweight services that accelerate GTM teams • Replace manual workflows with scalable, automated systems • Design and deploy AI-driven workflows and agents that augment GTM teams. • Support a hybrid GTM model where open-source and self-serve users graduate into paid, sales-assisted customers • Partner closely with Product & Marketing to turn usage insights into GTM leverage • Build the infrastructure that allows the GTM team to learn quickly and iterate with confidence • Create tight feedback loops between users, product signals, and GTM actions • Continuously optimize workflows, models, and automation based on real outcomes.

• Designing, developing, and operationalizing state-of-the-art AI solutions, including large language models (LLMs) • Building and integrating scalable AI/ML systems • Collaborating on software development efforts • Driving innovation to advance Mercy’s vision of personalized, predictive, and proactive care

Benefits: - 401(k) - 401(k) matching - Competitive salary - Dental insurance - Flexible schedule - Health insurance - Opportunity for advancement - Paid time off - Profit sharing - Training & development - Vision insurance - Wellness resources About AKIVA AKIVA is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. We build production-ready AI systems, intelligent infrastructure, and agentic management platforms that drive measurable results for commercial enterprises and government agencies. Company: AKIVA Location: Multiple / Remote Security Clearance: None Required Employment Type: Full-Time / Contract / Project-Based / Part-Time Position Overview AKIVA is seeking AI Engineers across multiple experience levels (Junior, Mid-Level, Senior, and Subject Matter Expert) to design, build, integrate, and operate production-grade AI and agentic systems supporting enterprise and government programs. This role supports regulated, compliance-driven environments, including data-intensive platforms, dashboards, automation workflows, and multi-system integrations critical to program oversight, reporting, and operational efficiency. AI Engineers at AKIVA work across the full lifecycle—from strategy and architecture through deployment and production support—delivering secure, scalable, and auditable AI solutions, including multi-agent systems, orchestration frameworks, and agent-based task coordination for complex workflows. Key Responsibilities (All Levels) - Design, develop, and maintain AI-enabled and agentic systems for enterprise and government use cases. - Build and operate multi-agent workflows, including agent coordination, orchestration, and tool invocation. - Develop secure data pipelines for ingestion, transformation, and validation. - Integrate AI solutions with enterprise platforms and systems using REST APIs, SQL Server, and secure file transfer. - Support production dashboards, automation scripts, and scheduled/overnight processes. - Monitor, troubleshoot, and optimize AI systems, data pipelines, and integrations. - Contribute to or lead DevOps, MLOps, and AgentOps practices, depending on level. - Ensure solutions comply with data security, governance, and audit requirements. - Document systems, workflows, and AI behavior to support compliance and operational continuity. Required Qualifications (Level-Appropriate) - Experience in software engineering, AI/ML, data engineering, or enterprise systems, commensurate with level. - Proficiency in Python and SQL (SQL Server preferred). - Experience working with REST APIs and integrated enterprise systems. - Familiarity with cloud-based environments (Azure, AWS, or equivalent). - Understanding of AI/ML concepts, including model deployment and lifecycle management. - Exposure to or experience with agent-based systems, orchestration, or workflow automation. - Experience supporting or contributing to production systems. Preferred Qualifications - Experience with multi-agent systems, agent orchestration frameworks, or agentic platforms. - Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom frameworks). - Experience with monitoring and observability tools - Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards. - Experience with cognitive architectures, neural network-based models, or hybrid symbolic/LLM systems used in production environments. Tools, Technologies & Frameworks - Languages: Python, SQL, PowerShell/Bash - Databases: SQL Server - AI & Agentic Systems: LLM-based agents, multi-agent orchestration frameworks, vector databases - Integration: REST APIs, FTP/SFTP - Cloud: Azure, AWS, GCP - DevOps & Ops: CI/CD pipelines, infrastructure as code, monitoring and logging tools - Visualization: Power BI, Tableau, or custom dashboards Methodologies & Practices - Agile / Scrum - Secure Software Development Lifecycle (SDLC) - MLOps and AgentOps best practices - Data governance, auditability, and compliance controls - Responsible and explainable AI practices Join Our AI Innovation Network Interested in staying connected with AKIVA’s AI initiatives, research, and opportunities? Join our AI Innovation Network here: 👉 https://www.akiva.com/ai-network This requisition is intended to support hiring across multiple AI Engineer levels, from early-career engineers to senior technical leaders and subject matter experts. Responsibilities, autonomy, and technical leadership expectations will scale based on experience and demonstrated expertise. Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). This is a remote position. Compensation: $125,000.00 - $225,000.00 per year

Benefits: - 401(k) - 401(k) matching - Competitive salary - Dental insurance - Flexible schedule - Health insurance - Opportunity for advancement - Paid time off - Profit sharing - Training & development - Vision insurance - Wellness resources About AKIVA AKIVA is an AI-native engineering firm delivering domain-specific solutions and enterprise services from strategy through deployment. We build production-ready AI systems, intelligent infrastructure, and agentic management platforms that drive measurable results for commercial enterprises and government agencies. Company: AKIVA Location: Multiple / Remote Security Clearance: None Required Employment Type: Full-Time / Contract / Project-Based / Part-Time Position Overview AKIVA is seeking AI Engineers across multiple experience levels (Junior, Mid-Level, Senior, and Subject Matter Expert) to design, build, integrate, and operate production-grade AI and agentic systems supporting enterprise and government programs. This role supports regulated, compliance-driven environments, including data-intensive platforms, dashboards, automation workflows, and multi-system integrations critical to program oversight, reporting, and operational efficiency. AI Engineers at AKIVA work across the full lifecycle—from strategy and architecture through deployment and production support—delivering secure, scalable, and auditable AI solutions, including multi-agent systems, orchestration frameworks, and agent-based task coordination for complex workflows. Key Responsibilities (All Levels) - Design, develop, and maintain AI-enabled and agentic systems for enterprise and government use cases. - Build and operate multi-agent workflows, including agent coordination, orchestration, and tool invocation. - Develop secure data pipelines for ingestion, transformation, and validation. - Integrate AI solutions with enterprise platforms and systems using REST APIs, SQL Server, and secure file transfer. - Support production dashboards, automation scripts, and scheduled/overnight processes. - Monitor, troubleshoot, and optimize AI systems, data pipelines, and integrations. - Contribute to or lead DevOps, MLOps, and AgentOps practices, depending on level. - Ensure solutions comply with data security, governance, and audit requirements. - Document systems, workflows, and AI behavior to support compliance and operational continuity. Required Qualifications (Level-Appropriate) - Experience in software engineering, AI/ML, data engineering, or enterprise systems, commensurate with level. - Proficiency in Python and SQL (SQL Server preferred). - Experience working with REST APIs and integrated enterprise systems. - Familiarity with cloud-based environments (Azure, AWS, or equivalent). - Understanding of AI/ML concepts, including model deployment and lifecycle management. - Exposure to or experience with agent-based systems, orchestration, or workflow automation. - Experience supporting or contributing to production systems. Preferred Qualifications - Experience with multi-agent systems, agent orchestration frameworks, or agentic platforms. - Familiarity with agent frameworks (e.g., LangChain, AutoGen, CrewAI, or custom frameworks). - Experience with monitoring and observability tools - Familiarity with vector databases, semantic retrieval, and AI-enabled dashboards. - Experience with cognitive architectures, neural network-based models, or hybrid symbolic/LLM systems used in production environments. Tools, Technologies & Frameworks - Languages: Python, SQL, PowerShell/Bash - Databases: SQL Server - AI & Agentic Systems: LLM-based agents, multi-agent orchestration frameworks, vector databases - Integration: REST APIs, FTP/SFTP - Cloud: Azure, AWS, GCP - DevOps & Ops: CI/CD pipelines, infrastructure as code, monitoring and logging tools - Visualization: Power BI, Tableau, or custom dashboards Methodologies & Practices - Agile / Scrum - Secure Software Development Lifecycle (SDLC) - MLOps and AgentOps best practices - Data governance, auditability, and compliance controls - Responsible and explainable AI practices Join Our AI Innovation Network Interested in staying connected with AKIVA’s AI initiatives, research, and opportunities? Join our AI Innovation Network here: 👉 https://www.akiva.com/ai-network This requisition is intended to support hiring across multiple AI Engineer levels, from early-career engineers to senior technical leaders and subject matter experts. Responsibilities, autonomy, and technical leadership expectations will scale based on experience and demonstrated expertise. Equal Employment Opportunity Statement AKIVA is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, national origin, age, physical disability, marital status, military and veteran status, or any other characteristic protected by applicable law. We believe that diversity among our teammates is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people within a qualified candidate pool. AKIVA is a certified Service-Disabled Veteran-Owned Small Business (SDVOSB). This is a remote position. Compensation: $125,000.00 - $225,000.00 per year