Role Description We are seeking a highly motivated & skilled Member of Technical Staff to join our growing engineering team. The Member of Technical Staff will play a crucial role in building & scaling our internal (soon to be open sourced) AI Accelerator Open Source Ecosystem Tracker — a full-stack Next.js application that tracks: - Pull requests - Test parity - CI health - Performance benchmarks across all open-source projects in the CUDA/ROCm/Trainium/TPU software ecosystem You will also play a role in writing and preparing weekly digests & technical reports on: - Upstream contribution health - ROCm/CUDA/Trainium/TPU parity trends - Cross-accelerator benchmark results There is an opportunity for direct authorship recognition. We are hiring individual contributors at all experience levels. Compensation will be competitive. As part of the interview process, you'll complete a paid coding challenge designed to reflect typical daily tasks: - Building full stack interactive apps - Designing database schemas for PR metrics - Integrating GitHub API data pipelines Qualifications - Proactive, self-motivated, and capable of working independently in a global team - Demonstrated experience in React, Next.js (App Router, Server Components, Server Actions), TypeScript, and SQL (Postgres/Neon) - Solid understanding of at least 1 of the following: - PostgreSQL schema design & query optimization - GitHub API integration & webhook-driven data pipelines - AI accelerator stacks (ROCm, CUDA, HIP, XLA/TPU, PyTorch, JAX, Neuron/Trainium) - Strong research skills and the ability to synthesize CI test results, parity metrics, and benchmark data across multiple hardware platforms (AMD, NVIDIA, Google TPU, AWS Trainium) to draw actionable insights - Experience with data visualization libraries (Chart.js, D3.js, Recharts), Vercel deployment, GitHub Actions CI/CD, and open-source community engagement is a plus Benefits - Generous PTO - Office stipends - Competitive healthcare (medical, dental, vision) - Support for conferences and ongoing learning

Role Description We're partnering with an AI-native law firm backed by $9M in pre-seed and seed funding - tier-1 US VC - who are building the next generation of legal services for investment funds, financial institutions, and corporates. This is a Founding GTM role. You'll build the revenue engine from scratch alongside the founder, including: - Outbound - Pipeline - Discovery - Closing - Playbook What makes this different: - Your fingerprints on the entire go-to-market function - Direct founder collaboration from day one - Selling into GCs, CFOs, and investment fund leadership - high-stakes, consultative, meaningful - Remote-first with London and New York office access - Company offsite in Mallorca (yes, really) Qualifications - 0-to-1 GTM experience as a senior individual contributor - Experience building outbound pipelines and closing early-stage deals in a pre-playbook environment - Consultative selling into senior stakeholders is non-negotiable - Comfortable owning end-to-end without waiting for structure to exist Requirements - This won't suit everyone - If you've only worked in scaled, process-driven sales organisations - this will feel chaotic - It's supposed to. That's what building looks like before the playbook exists Benefits - Salary: €80,000 - €150,000 OTE + meaningful equity Company Description HFBAC is proud to be partnering on this search. This is new headcount - the first commercial hire at a funded, founder-led AI company. Interested? Apply here or connect with Helen Wingrove-Sanders directly at hfbac.com.

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.

Who We Are Core Spaces (Core) is more than a real estate company; it’s a people company. Where building relationships is just as important as building properties. From researchers and architects to designers and operators, Core is made up of risk takers and dreamers who are on a mission to invent the future of living. Our six cultural values guide us every day and we strive to live them in everything we do: PUSH (Invent Better Places to Live), GRIT (We Got This), LIFT (Help Each Other Win), SHINE (Bring Your Full Self), UPHOLD (Never Break Trust), GROW (Always Get Better). Everything Core does stem from this culture of collaboration and innovation, and the drive to constantly improve the resident experience. This unique approach has led to creating spaces and services that are redefining the way people live. What We Do Founded in 2010, Core is a vertically integrated real estate investment manager focused on acquiring, developing and managing across the student housing and build-to-rent (“BTR”) sectors. Its residential communities feature world-class amenities, progressive design, and hospitality-driven service. Core’s student housing portfolio includes over 59,000 beds currently owned or managed, with a pipeline of over 50,930 beds in various stages of development. Core’s BTR division has over 3,000 homes under development, now leasing or in its pipeline in high growth metros nationwide. For more information, visit www.corespaces.com. *Portfolio and pipeline numbers as of Q4 2025 Benefits That Matter - A culture that provides you with a sense of belonging - Competitive pay that values your contributions - Incentives designed to reward your achievements - Paid flexible PTO to disconnect or celebrate life milestones - Paid 14+ holidays, including your birthday, to disconnect and celebrate - Paid Parental Leave that begins after 90 days - Paid volunteer time off to give back to your community - Monthly workshop weeks; fewer meetings & more collaboration - Robust health plan options that begin within at least 30 days of your employment - Monthly phone reimbursement - Wellness allowance and perks, including a yearly subscription to a meditation app - An environment that provides you a voice to share your perspectives - Employee Assistance Program (EAP) for access to confidential support services - Company retirement options including 401(k) + matching & Roth account option Position Overview The Senior Associate, Applied AI Engineer works closely with the AI Architect to design, implement, evaluate, and operationalize AI agents and automation workflows across the organization. This role focuses on applying modern AI techniques related to retrieval-augmented generation (RAG), agent frameworks, and evaluation methodologies all contained within a Databricks-centric data platform and Microsoft Copilot Studio–based agent ecosystem. This is a hands-on role centered on building reliable, auditable AI systems that integrate deeply with enterprise data, analytics, and business processes. The position does not have direct reports and operates as a junior partner to the AI Architect, supporting architectural vision through implementation and validation. What You Will Do AI Agent & RAG Implementation - Build and implement AI agents using retrieval-augmented generation (RAG), tool calling, and orchestration frameworks - Leverage Databricks (Delta Lake, notebooks, jobs, MLflow) as the primary environment for data preparation, experimentation, and evaluation - Configure embeddings, vector stores, retrieval strategies, and prompt logic to support accurate, grounded responses - Implement and extend agents within Microsoft Copilot Studio, integrating enterprise data, workflows, and APIs - Assist the AI Architect in translating reference architectures into working agent implementations Evaluation, Accuracy & Auditing - Audit AI agent behavior for accuracy, completeness, and alignment with business intent - Design and run evaluation workflows using Databricks (test datasets, regression checks, qualitative reviews) - Identify failure modes such as hallucinations, retrieval gaps, or tool misuse and recommend corrective strategies - Support monitoring and iteration of deployed agents to maintain reliability over time Data & Platform Enablement - Prepare and curate structured and unstructured data for retrieval and grounding - Assist with document ingestion pipelines, chunking strategies, metadata enrichment, and indexing in Databricks - Collaborate with data engineering teams to ensure AI workflows align with Lakehouse standards and governance - Support integration between Databricks outputs and Copilot Studio agents Responsible AI & Compliance - Cross-Functional Collaboration - Partner with product managers to translate business needs into agent behaviors and success criteria - Work with stakeholders to validate AI outputs against real-world use cases - Clearly communicate system behavior, limitations, and tradeoffs to non-technical audiences   Cross-Functional Collaboration - Partner with product managers, engineers, and domain experts to define problem statements and success metrics - Communicate complex technical concepts to non technical stakeholders in a clear, concise manner - Occasional travel may be necessary as needed - Perform all other duties and tasks as assigned by management - Must be able to complete all physical requirements of this role with or without a reasonable accommodation Ideally, You'll Have - 2–5 years of experience in applied AI, ML engineering, data science, or analytics engineering - Bachelor's Degree in Computer Science, Machine Learning, Data Science, Applied Mathematics, or a related field (or equivalent practical experience) - Solid understanding of data structures, algorithms, and software engineering principles - Proficiency in Python and Machine Learning frameworks You'll crush it if you have experience with - Databricks (Delta Lake, notebooks, jobs, MLflow, feature pipelines) - Retrieval-Augmented Generation (RAG) and embedding workflows - Microsoft Copilot Studio or Power Platform–based automations - Vector databases and semantic search patterns - LLM evaluation, prompt iteration, and agent testing - Cloud platforms such as Azure (preferred), AWS, or GCP Organizational Structure Reports to: Vice President, Data Strategy Direct Reports: N/A Disclaimer Disclaimer: Please note that job responsibilities, reporting lines, and duties outlined in this job description are subject to change to meet the evolving needs of the organization. As an Equal Opportunity Employer, Core Spaces celebrates diversity and is committed to creating an equitable and inclusive environment, which creates a sense of belonging for all employees. We do not discriminate and believe every individual should be proud of who they are and the community they represent. Pay Range USD $150,000.00 - USD $160,000.00 /Yr. Additional Compensation Employees may be eligible for discretionary bonuses, typically up to 10% of base salary annually, depending on individual and organizational performance. Compensation Disclosure The compensation range listed reflects the base salary or hourly rate that we reasonably and in good faith expect to offer for this role at the time of posting. Actual compensation may vary based on factors such as education, experience, skills, certifications, seniority, geographic location, and business needs. This role may be eligible for additional forms of compensation, including bonuses, commissions, stipends, or non-cash incentives, depending on position and performance. Benefits may include health insurance, retirement plans, paid time off, and other role-based offerings, subject to eligibility requirements. All compensation components are subject to change based on business needs or market conditions.